Computational Intelligence Theories Applications And Future Directions Volume Ii

Author : Nishchal K. Verma,A. K. Ghosh
Publisher : Springer
Page : 679 pages
File Size : 51,8 Mb
Release : 2018-09-01
Category : Technology & Engineering
ISBN : 9789811311352

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Computational Intelligence: Theories, Applications and Future Directions - Volume II by Nishchal K. Verma,A. K. Ghosh Pdf

This book presents selected proceedings of ICCI-2017, discussing theories, applications and future directions in the field of computational intelligence (CI). ICCI-2017 brought together international researchers presenting innovative work on self-adaptive systems and methods. This volume covers the current state of the field and explores new, open research directions. The book serves as a guide for readers working to develop and validate real-time problems and related applications using computational intelligence. It focuses on systems that deal with raw data intelligently, generate qualitative information that improves decision-making, and behave as smart systems, making it a valuable resource for researchers and professionals alike.

Author : Nishchal K. Verma,A. K. Ghosh
Publisher : Springer
Page : 615 pages
File Size : 46,7 Mb
Release : 2018-07-31
Category : Technology & Engineering
ISBN : 9789811311321

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Computational Intelligence: Theories, Applications and Future Directions - Volume I by Nishchal K. Verma,A. K. Ghosh Pdf

This book presents selected proceedings of ICCI-2017, discussing theories, applications and future directions in the field of computational intelligence (CI). ICCI-2017 brought together international researchers presenting innovative work on self-adaptive systems and methods. This volume covers the current state of the field and explores new, open research directions. The book serves as a guide for readers working to develop and validate real-time problems and related applications using computational intelligence. It focuses on systems that deal with raw data intelligently, generate qualitative information that improves decision-making, and behave as smart systems, making it a valuable resource for researchers and professionals alike.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 55,7 Mb
Release : 2024-07-03
Category : Electronic
ISBN : OCLC:1026444829

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Computational Intelligence by Anonim Pdf

Author : Florentin Smarandache,Surapati Pramanik
Publisher : Infinite Study
Page : 471 pages
File Size : 55,7 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 8210379456XXX

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New Trends in Neutrosophic Theory and Applications, Volume II by Florentin Smarandache,Surapati Pramanik Pdf

Neutrosophic theory and applications have been expanding in all directions at an astonishing rate especially after the introduction the journal entitled “Neutrosophic Sets and Systems”. New theories, techniques, algorithms have been rapidly developed. One of the most striking trends in the neutrosophic theory is the hybridization of neutrosophic set with other potential sets such as rough set, bipolar set, soft set, hesitant fuzzy set, etc.

Author : Angelov Plamen Parvanov
Publisher : World Scientific
Page : 964 pages
File Size : 45,7 Mb
Release : 2016-03-18
Category : Computers
ISBN : 9789814675024

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Handbook On Computational Intelligence (In 2 Volumes) by Angelov Plamen Parvanov Pdf

With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.

Author : Amit Konar
Publisher : Springer Science & Business Media
Page : 708 pages
File Size : 55,8 Mb
Release : 2006-01-16
Category : Technology & Engineering
ISBN : 9783540273356

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Computational Intelligence by Amit Konar Pdf

Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image understanding, expert systems, object recognition, criminal investigation, telecommunication networks, and intelligent robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own.

Author : Fei-yue Wang,Derong Liu
Publisher : World Scientific
Page : 478 pages
File Size : 44,7 Mb
Release : 2006-06-02
Category : Technology & Engineering
ISBN : 9789814478281

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Advances In Computational Intelligence: Theory And Applications by Fei-yue Wang,Derong Liu Pdf

Computational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced information processing technologies that mainly embody neural networks, fuzzy logic and evolutionary computation. With a major concern to exploiting the tolerance for imperfection, uncertainty, and partial truth to achieve tractability, robustness and low solution cost, it becomes evident that composing methods of CI should be working concurrently rather than separately. It is this conviction that research on the synergism of CI paradigms has experienced significant growth in the last decade with some areas nearing maturity while many others remaining unresolved. This book systematically summarizes the latest findings and sheds light on the respective fields that might lead to future breakthroughs.

Author : Hisao Ishibuchi
Publisher : EOLSS Publications
Page : 410 pages
File Size : 50,5 Mb
Release : 2015-12-30
Category : Electronic
ISBN : 9781780210216

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Computational Intelligence - Volume II by Hisao Ishibuchi Pdf

Computational intelligence is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Computational intelligence is a rapidly growing research field including a wide variety of problem-solving techniques inspired by nature. Traditionally computational intelligence consists of three major research areas: Neural Networks, Fuzzy Systems, and Evolutionary Computation. Neural networks are mathematical models inspired by brains. Neural networks have massively parallel network structures with many neurons and weighted connections. Whereas each neuron has a simple input-output relation, a neural network with many neurons can realize a highly non-linear complicated mapping. Connection weights between neurons can be adjusted in an automated manner by a learning algorithm to realize a non-linear mapping required in a particular application task. Fuzzy systems are mathematical models proposed to handle inherent fuzziness in natural language. For example, it is very difficult to mathematically define the meaning of “cold” in everyday conversations such as “It is cold today” and “Can I have cold water”. The meaning of “cold” may be different in a different situation. Even in the same situation, a different person may have a different meaning. Fuzzy systems offer a mathematical mechanism to handle inherent fuzziness in natural language. As a result, fuzzy systems have been successfully applied to real-world problems by extracting linguistic knowledge from human experts in the form of fuzzy IF-THEN rules. Evolutionary computation includes various population-based search algorithms inspired by evolution in nature. Those algorithms usually have the following three mechanisms: fitness evaluation to measure the quality of each solution, selection to choose good solutions from the current population, and variation operators to generate offspring from parents. Evolutionary computation has high applicability to a wide range of optimization problems with different characteristics since it does not need any explicit mathematical formulations of objective functions. For example, simulation-based fitness evaluation is often used in evolutionary design. Subjective fitness evaluation by a human user is also often used in evolutionary art and music. These volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers.

Author : Teena Sharma
Publisher : Springer Nature
Page : 158 pages
File Size : 52,9 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 9789819720118

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Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement by Teena Sharma Pdf

Author : Shyam Singh Rajput,Nafis Uddin Khan,Amit Kumar Singh,Karm Veer Arya
Publisher : Academic Press
Page : 380 pages
File Size : 47,9 Mb
Release : 2022-10-06
Category : Computers
ISBN : 9780323985789

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Digital Image Enhancement and Reconstruction by Shyam Singh Rajput,Nafis Uddin Khan,Amit Kumar Singh,Karm Veer Arya Pdf

Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications. Presents comprehensive coverage of digital image enhancement and reconstruction techniques Explores applications across range of fields, including intelligent surveillance systems, human-computer interaction, healthcare, agriculture, biometrics, modelling Explores different challenges and issues related to the implementation of various techniques for different types of images, including denoising, dehazing, super-resolution, and use of soft computing

Author : Cheng, Shi,Shi, Yuhui
Publisher : IGI Global
Page : 482 pages
File Size : 54,8 Mb
Release : 2020-04-24
Category : Computers
ISBN : 9781799832249

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Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems by Cheng, Shi,Shi, Yuhui Pdf

The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world. TheHandbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems is a pivotal reference source that provides vital research on the development of swarm intelligence algorithms and their implementation into current issues. While highlighting topics such as multi-agent systems, bio-inspired computing, and evolutionary programming, this publication explores various concepts and theories of swarm intelligence and outlines future directions of development. This book is ideally designed for IT specialists, researchers, academicians, engineers, developers, practitioners, and students seeking current research on the real-world applications of intelligent algorithms.

Author : Linqiang Pan
Publisher : Springer Nature
Page : 415 pages
File Size : 52,6 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 9789819722723

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Bio-Inspired Computing: Theories and Applications by Linqiang Pan Pdf

Author : Ana Paula Cláudio,Kadi Bouatouch,Manuela Chessa,Alexis Paljic,Andreas Kerren,Christophe Hurter,Alain Tremeau,Giovanni Maria Farinella
Publisher : Springer Nature
Page : 629 pages
File Size : 50,9 Mb
Release : 2020-02-19
Category : Computers
ISBN : 9783030415907

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Computer Vision, Imaging and Computer Graphics Theory and Applications by Ana Paula Cláudio,Kadi Bouatouch,Manuela Chessa,Alexis Paljic,Andreas Kerren,Christophe Hurter,Alain Tremeau,Giovanni Maria Farinella Pdf

This book constitutes thoroughly revised and selected papers from the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, held in Prague, Czech Republic, in February 2019. The 25 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 395 submissions. The papers contribute to the understanding of relevant trends of current research on computer graphics; human computer interaction; information visualization; computer vision.

Author : H. K. Lam,Hak-Keung Lam,Hung T. Nguyen
Publisher : World Scientific
Page : 318 pages
File Size : 52,9 Mb
Release : 2012
Category : Computers
ISBN : 9781848166912

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Computational Intelligence and Its Applications by H. K. Lam,Hak-Keung Lam,Hung T. Nguyen Pdf

This book focuses on computational intelligence techniques and their applications -- fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for better treatment of different applications, and simulation and experimental results are included to illustrate the design procedure and the effectiveness of the approaches.

Author : Plamen Parvanov Angelov
Publisher : World Scientific
Page : 1057 pages
File Size : 52,9 Mb
Release : 2022-06-29
Category : Computers
ISBN : 9789811247330

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Handbook On Computer Learning And Intelligence (In 2 Volumes) by Plamen Parvanov Angelov Pdf

The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)