Neural Network Analysis Architectures And Applications

Author : A Browne
Publisher : CRC Press
Page : 294 pages
File Size : 42,7 Mb
Release : 1997-01-01
Category : Mathematics
ISBN : 0750304995

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Neural Network Analysis, Architectures and Applications by A Browne Pdf

Neural Network Analysis, Architectures and Applications discusses the main areas of neural networks, with each authoritative chapter covering the latest information from different perspectives. Divided into three parts, the book first lays the groundwork for understanding and simplifying networks. It then describes novel architectures and algorithms, including pulse-stream techniques, cellular neural networks, and multiversion neural computing. The book concludes by examining various neural network applications, such as neuron-fuzzy control systems and image compression. This final part of the book also provides a case study involving oil spill detection. This book is invaluable for students and practitioners who have a basic understanding of neural computing yet want to broaden and deepen their knowledge of the field.

Author : Kenji Suzuki
Publisher : IntechOpen
Page : 266 pages
File Size : 47,7 Mb
Release : 2013-01-16
Category : Computers
ISBN : 9535109359

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Artificial Neural Networks by Kenji Suzuki Pdf

Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of architectures, methodologies, and applications of artificial neural networks. The book consists of two parts: the architecture part covers architectures, design, optimization, and analysis of artificial neural networks; the applications part covers applications of artificial neural networks in a wide range of areas including biomedical, industrial, physics, and financial applications. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks. The target audience of this book includes college and graduate students, and engineers in companies.

Author : Judith E. Dayhoff
Publisher : Itp New Media
Page : 282 pages
File Size : 42,7 Mb
Release : 1996
Category : Computer architecture
ISBN : UCSC:32106013574964

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Neural Network Architectures by Judith E. Dayhoff Pdf

Author : Leo P. J. Veelenturf
Publisher : Unknown
Page : 284 pages
File Size : 40,8 Mb
Release : 1995
Category : Computers
ISBN : UOM:39015034225659

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Analysis and Applications of Artificial Neural Networks by Leo P. J. Veelenturf Pdf

This volume is an analysis of the behaviour of the three types of neural networks: the binary perceptron, the continuous perceptron and the self-organizing neural network. Analysis is largely mathematical but concepts are also explained through practical examples.

Author : Gyanendra K. Verma,Badal Soni,Salah Bourennane,Alexandre C. B. Ramos
Publisher : Springer Nature
Page : 444 pages
File Size : 48,8 Mb
Release : 2021-08-19
Category : Computers
ISBN : 9789811616815

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Data Science by Gyanendra K. Verma,Badal Soni,Salah Bourennane,Alexandre C. B. Ramos Pdf

This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.

Author : Lionel Tarassenko
Publisher : Elsevier
Page : 160 pages
File Size : 47,9 Mb
Release : 1998-01-30
Category : Computers
ISBN : 9780080512600

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Guide to Neural Computing Applications by Lionel Tarassenko Pdf

Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more experienced practitioner who, through over familiarity, might otherwise be inclined to jump to unwarranted conclusions. The book is an invaluable resource not only for those in industry who are interested in neural computing solutions, but also for final year undergraduates or graduate students who are working on neural computing projects. It provides advice which will help make the best use of the growing number of commercial and public domain neural network software products, freeing the specialist from dependence upon external consultants.

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer Nature
Page : 292 pages
File Size : 46,8 Mb
Release : 2019-11-01
Category : Technology & Engineering
ISBN : 9783030317645

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Development and Analysis of Deep Learning Architectures by Witold Pedrycz,Shyi-Ming Chen Pdf

This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.

Author : Laurene Fausett
Publisher : Prentice Hall
Page : 461 pages
File Size : 52,7 Mb
Release : 1994
Category : Neural networks (Computer science)
ISBN : 0130422509

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Fundamentals of Neural Networks by Laurene Fausett Pdf

An introduction to neural networks written at an elementary level, with the new student in mind. The text features systematic discussions of the major neural networks and gives numerous examples, exercises and also 25 computer projects.

Author : Amit Kumar Tyagi,Ajith Abraham
Publisher : CRC Press
Page : 426 pages
File Size : 45,6 Mb
Release : 2022-08-08
Category : Computers
ISBN : 9781000626179

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Recurrent Neural Networks by Amit Kumar Tyagi,Ajith Abraham Pdf

The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neural networks. It discusses important topics including recurrent and folding networks, long short-term memory (LSTM) networks, gated recurrent unit neural networks, language modeling, neural network model, activation function, feed-forward network, learning algorithm, neural turning machines, and approximation ability. The text discusses diverse applications in areas including air pollutant modeling and prediction, attractor discovery and chaos, ECG signal processing, and speech processing. Case studies are interspersed throughout the book for better understanding. FEATURES Covers computational analysis and understanding of natural languages Discusses applications of recurrent neural network in e-Healthcare Provides case studies in every chapter with respect to real-world scenarios Examines open issues with natural language, health care, multimedia (Audio/Video), transportation, stock market, and logistics The text is primarily written for undergraduate and graduate students, researchers, and industry professionals in the fields of electrical, electronics and communication, and computer engineering/information technology.

Author : Pier Luigi Mazzeo,Paolo Spagnolo
Publisher : BoD – Books on Demand
Page : 216 pages
File Size : 55,8 Mb
Release : 2021-07-14
Category : Computers
ISBN : 9781839623745

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Deep Learning Applications by Pier Luigi Mazzeo,Paolo Spagnolo Pdf

Deep learning is a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture. This book is divided into two sections. The first section covers deep learning architectures and the second section describes the state of the art of applications based on deep learning.

Author : N. Sundararajan,P. Saratchandran
Publisher : Wiley-IEEE Computer Society Press
Page : 424 pages
File Size : 41,8 Mb
Release : 1998-12-14
Category : Computers
ISBN : UOM:39015046908375

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Parallel Architectures for Artificial Neural Networks by N. Sundararajan,P. Saratchandran Pdf

An excellent reference for neural networks research and application, this book covers the parallel implementation aspects of all major artificial neural network models in a single text. Parallel Architectures for Artificial Neural Networks details implementations on various processor architectures built on different hardware platforms, ranging from large, general purpose parallel computers to custom built MIMD machine. Working experts describe their implementation research including results that are then divided into three sections: The theoretical analysis of parallel implementation schemes on MIMD message passing machines The details of parallel implementation of BP neural networks on general purpose, large, parallel computers Four specific purpose parallel neural computer configuration Aimed at graduate students and researchers working in artificial neural networks and parallel computing this work can be used by graduate level educators to illustrate parallel computing methods for ANN simulation. Practitioners will also find the text an ideal reference tool for lucid mathematical analyses.

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1575 pages
File Size : 52,5 Mb
Release : 2021-07-16
Category : Computers
ISBN : 9781668424094

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Research Anthology on Artificial Neural Network Applications by Management Association, Information Resources Pdf

Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.

Author : Abraham Kandel,Gideon Langholz
Publisher : CRC Press
Page : 448 pages
File Size : 50,6 Mb
Release : 2020-09-10
Category : Computers
ISBN : 9781000102949

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Hybrid Architectures for Intelligent Systems by Abraham Kandel,Gideon Langholz Pdf

Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems. The book is divided into two parts. The first part is devoted to the theory, methodologies, and algorithms of intelligent hybrid systems. The second part examines current applications of intelligent hybrid systems in areas such as data analysis, pattern classification and recognition, intelligent robot control, medical diagnosis, architecture, wastewater treatment, and flexible manufacturing systems. Hybrid Architectures for Intelligent Systems is an important reference for computer scientists and electrical engineers involved with artificial intelligence, neural networks, parallel processing, robotics, and systems architecture.

Author : E R Caianiello
Publisher : World Scientific
Page : 396 pages
File Size : 53,9 Mb
Release : 1991-11-12
Category : Electronic
ISBN : 9789814555784

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Parallel Architectures And Neural Networks: Fourth Italian Workshop by E R Caianiello Pdf

Organized and supported by IIASS and other Italian institutions, this Workshop in Vietri sul Mare has now become a permanent annual event. The aim is to foster closer links among all groups and individuals working in Europe in this inter- and multi-disciplinary area. Topics cover models, architectures and applications.

Author : Manjubala Bisi,Neeraj Kumar Goyal
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 50,8 Mb
Release : 2017-09-21
Category : Computers
ISBN : 9781119223962

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Artificial Neural Network Applications for Software Reliability Prediction by Manjubala Bisi,Neeraj Kumar Goyal Pdf

Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process is presented as well. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators.