Soft Computing And Machine Learning

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Soft Computing in Machine Learning

Sang-Yong Rhee,Jooyoung Park,Atsushi Inoue
Soft Computing in Machine Learning Book PDF

Author : Sang-Yong Rhee,Jooyoung Park,Atsushi Inoue
Publisher : Springer
Page : 120 pages
File Size : 52,6 Mb
Release : 2014-07-08
Category : Technology & Engineering
ISBN : 9783319055336

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Soft Computing in Machine Learning by Sang-Yong Rhee,Jooyoung Park,Atsushi Inoue Pdf

As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid progress in developing the state of the art in machine learning based on smart and deep perception. Using machine learning, the intelligent systems make widely applications in automated speech recognition, natural language processing, medical diagnosis, bioinformatics, and robot locomotion. This book aims at introducing how to treat a substantial amount of data, to teach machines and to improve decision making models. And this book specializes in the developments of advanced intelligent systems through machine learning. It consists of 11 contributions that features illumination change detection, generator of electronic educational publications, intelligent call triage system, recognition of rocks at uranium deposits, graphics processing units, mathematical model of hit phenomena, selection and mutation in genetic algorithm, hands and arms motion estimation, application of wavelet network, Kanizsa triangle illusion, and support vector machine regression. Also, it describes how to apply the machine learning for the intelligent systems. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verifications.

Machine Intelligence and Soft Computing

Debnath Bhattacharyya,N. Thirupathi Rao
Machine Intelligence and Soft Computing Book PDF

Author : Debnath Bhattacharyya,N. Thirupathi Rao
Publisher : Springer Nature
Page : 504 pages
File Size : 54,9 Mb
Release : 2021-01-20
Category : Technology & Engineering
ISBN : 9789811595165

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Machine Intelligence and Soft Computing by Debnath Bhattacharyya,N. Thirupathi Rao Pdf

This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Advances in Soft Computing and Machine Learning in Image Processing

Aboul Ella Hassanien,Diego Alberto Oliva
Advances in Soft Computing and Machine Learning in Image Processing Book PDF

Author : Aboul Ella Hassanien,Diego Alberto Oliva
Publisher : Springer
Page : 718 pages
File Size : 40,7 Mb
Release : 2017-10-13
Category : Technology & Engineering
ISBN : 9783319637549

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Advances in Soft Computing and Machine Learning in Image Processing by Aboul Ella Hassanien,Diego Alberto Oliva Pdf

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Learning and Soft Computing

Vojislav Kecman
Learning and Soft Computing Book PDF

Author : Vojislav Kecman
Publisher : MIT Press
Page : 556 pages
File Size : 45,8 Mb
Release : 2001
Category : Computers
ISBN : 0262112558

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Learning and Soft Computing by Vojislav Kecman Pdf

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Wengang Zhang,Yanmei Zhang,Xin Gu,Chongzhi Wu,Liang Han
Application of Soft Computing Machine Learning Deep Learning and Optimizations in Geoengineering and Geoscience Book PDF

Author : Wengang Zhang,Yanmei Zhang,Xin Gu,Chongzhi Wu,Liang Han
Publisher : Springer Nature
Page : 143 pages
File Size : 53,5 Mb
Release : 2021-10-12
Category : Science
ISBN : 9789811668357

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Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience by Wengang Zhang,Yanmei Zhang,Xin Gu,Chongzhi Wu,Liang Han Pdf

This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience. Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience. Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solving critical problems of civil engineering.

Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

Pradip Debnath,S. A. Mohiuddine
Soft Computing Techniques in Engineering Health Mathematical and Social Sciences Book PDF

Author : Pradip Debnath,S. A. Mohiuddine
Publisher : CRC Press
Page : 232 pages
File Size : 55,7 Mb
Release : 2021-07-15
Category : Computers
ISBN : 9781000409819

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Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences by Pradip Debnath,S. A. Mohiuddine Pdf

Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.

Applied Soft Computing

Samarjeet Borah,Ranjit Panigrahi
Applied Soft Computing Book PDF

Author : Samarjeet Borah,Ranjit Panigrahi
Publisher : CRC Press
Page : 286 pages
File Size : 49,5 Mb
Release : 2022-02-03
Category : Computers
ISBN : 9781000406634

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Applied Soft Computing by Samarjeet Borah,Ranjit Panigrahi Pdf

This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only with theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligence-based applications. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book begins with the basics and goes on to explore a variety of modern applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, metaheuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence. This book will be helpful to a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.

New Learning Paradigms in Soft Computing

Lakhmi C. Jain,Janusz Kacprzyk
New Learning Paradigms in Soft Computing Book PDF

Author : Lakhmi C. Jain,Janusz Kacprzyk
Publisher : Physica
Page : 477 pages
File Size : 44,6 Mb
Release : 2013-06-05
Category : Computers
ISBN : 9783790818031

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New Learning Paradigms in Soft Computing by Lakhmi C. Jain,Janusz Kacprzyk Pdf

Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

Soft Computing and Machine Learning with Python

Zoran Gacovski
Soft Computing and Machine Learning with Python Book PDF

Author : Zoran Gacovski
Publisher : Arcler Press
Page : 0 pages
File Size : 49,6 Mb
Release : 2018-12
Category : Computers
ISBN : 1773615009

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Soft Computing and Machine Learning with Python by Zoran Gacovski Pdf

A definition states that the machine learning is a discipline that allows the computers to learn without explicit programming. The challenge in machine learning is how to accurately (algorithmic) describe some kinds of tasks that people can easily solve (for example face recognition, speech recognition etc.). Such algorithms can be defined for certain types of tasks, but they are very complex and/or require large knowledge base (e.g. machine translation MT). In many of the areas - data are continuously collected in order to get "some knowledge out of them" for example - in medicine (patient data and therapy), in marketing (the users / customers and what they buy, what are they interested in, how products are rated etc.). Data analysis of this scale requires approaches that will allow you to discover patterns and dependences among the data, that are neither known, nor obvious, but can be useful (data mining). Information retrieval - IR, is finding existing information as quickly as possible. For example, web browser - finds page within the (large) set of the entire WWW. Machine Learning - ML, is a set of techniques that generalize existing knowledge of the new information, as precisely as possible. An example is the speech recognition. Data mining - DM, primarily relates to the disclosure of something hidden within the data, some new dependence, which have not previously been known. Example is CRM - the customer analysis. Python is high-level programming language that is very suitable for web development, programming of games, and data manipulation / machine learning applications. It is object-oriented language and interpreter as well, allowing the source code to execute directly (without compiling). This edition covers machine learning theory and applications with Python, and includes chapters for soft computing theory, machine learning techniques/applications, Python language details, and machine learning examples with Python. Book jacket.

Artificial Intelligence and Soft Computing

Amit Konar
Artificial Intelligence and Soft Computing Book PDF

Author : Amit Konar
Publisher : CRC Press
Page : 834 pages
File Size : 46,9 Mb
Release : 2018-10-08
Category : Computers
ISBN : 1420049135

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Artificial Intelligence and Soft Computing by Amit Konar Pdf

With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. Beginning with the behavioral perspective of "human cognition," the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects-search, symbolic logic, planning, and machine learning-in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research, including nonmonotonic and spatio-temporal reasoning, knowledge acquisition, and much more. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain is unique for its diverse content, clear presentation, and overall completeness. It provides a practical, detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines.

Innovations in Machine Learning

Dawn E. Holmes
Innovations in Machine Learning Book PDF

Author : Dawn E. Holmes
Publisher : Springer
Page : 285 pages
File Size : 44,8 Mb
Release : 2006-02-28
Category : Technology & Engineering
ISBN : 9783540334866

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Innovations in Machine Learning by Dawn E. Holmes Pdf

Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.

Artificial Intelligence and Soft Computing

Leszek Rutkowski,Marcin Korytkowski,Rafał Scherer,Ryszard Tadeusiewicz,Lotfi A. Zadeh,Jacek M. Zurada
Artificial Intelligence and Soft Computing Book PDF

Author : Leszek Rutkowski,Marcin Korytkowski,Rafał Scherer,Ryszard Tadeusiewicz,Lotfi A. Zadeh,Jacek M. Zurada
Publisher : Springer
Page : 834 pages
File Size : 40,7 Mb
Release : 2014-05-22
Category : Computers
ISBN : 9783319071763

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Artificial Intelligence and Soft Computing by Leszek Rutkowski,Marcin Korytkowski,Rafał Scherer,Ryszard Tadeusiewicz,Lotfi A. Zadeh,Jacek M. Zurada Pdf

The two-volume set LNAI 8467 and LNAI 8468 constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014, held in Zakopane, Poland in June 2014. The 139 revised full papers presented in the volumes, were carefully reviewed and selected from 331 submissions. The 69 papers included in the first volume are focused on the following topical sections: Neural Networks and Their Applications, Fuzzy Systems and Their Applications, Evolutionary Algorithms and Their Applications, Classification and Estimation, Computer Vision, Image and Speech Analysis and Special Session 3: Intelligent Methods in Databases. The 71 papers in the second volume are organized in the following subjects: Data Mining, Bioinformatics, Biometrics and Medical Applications, Agent Systems, Robotics and Control, Artificial Intelligence in Modeling and Simulation, Various Problems of Artificial Intelligence, Special Session 2: Machine Learning for Visual Information Analysis and Security, Special Session 1: Applications and Properties of Fuzzy Reasoning and Calculus and Clustering.

Soft Computing and Human-Centered Machines

Z.-Q. Liu,S. Miyamoto
Soft Computing and Human Centered Machines Book PDF

Author : Z.-Q. Liu,S. Miyamoto
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 55,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9784431679073

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Soft Computing and Human-Centered Machines by Z.-Q. Liu,S. Miyamoto Pdf

Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Work bench represents an important new contribution in the field of practical computer technology. Tosiyasu L. Kunii Preface With the advent of digital computers some five decades ago and the wide spread use of computer networks recently, we have gained enormous power in gathering information and manufacturing. Yet, this increase in comput ing power has not given us freedom in a real sense, we are increasingly enslaved by the very machine we built for gaining freedom and efficiency. Making machines to serve mankind is an essential issue we are facing. Building human-centered systems is an imperative task for scientists and engineers in the new millennium. The topic of human-centered servant modules covers a vast area. In our projects we have focused our efforts on developing theories and techn!ques based on fuzzy theories. Chapters 2 to 12 in this book collectively deal with the theoretical, methodological, and applicational aspects of human centered systems. Each chapter presents the most recent research results by the authors on a particular topic.

Innovations in Machine Learning

Dawn E. Holmes
Innovations in Machine Learning Book PDF

Author : Dawn E. Holmes
Publisher : Springer Science & Business Media
Page : 285 pages
File Size : 48,6 Mb
Release : 2006-03-09
Category : Computers
ISBN : 9783540306092

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Innovations in Machine Learning by Dawn E. Holmes Pdf

Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.

Neuro-fuzzy and Soft Computing

Jyh-Shing Roger Jang,Chuen-Tsai Sun,Eiji Mizutani
Neuro fuzzy and Soft Computing Book PDF

Author : Jyh-Shing Roger Jang,Chuen-Tsai Sun,Eiji Mizutani
Publisher : Pearson Education
Page : 658 pages
File Size : 44,7 Mb
Release : 1997
Category : Computers
ISBN : UOM:39015038144864

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Neuro-fuzzy and Soft Computing by Jyh-Shing Roger Jang,Chuen-Tsai Sun,Eiji Mizutani Pdf

Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc. All the HTTP and FTP addresses are available as a bookmark file on the companion software disk.