Recent Advances in Artificial Neural Networks

Recent Advances in Artificial Neural Networks PDF

Author: L. C. Jain

Publisher: CRC Press

Published: 2018-05-04

Total Pages: 372

ISBN-13: 1351084666

DOWNLOAD EBOOK →

Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now. Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.

Recent Advances of Neural Network Models and Applications

Recent Advances of Neural Network Models and Applications PDF

Author: Simone Bassis

Publisher: Springer Science & Business Media

Published: 2013-12-19

Total Pages: 436

ISBN-13: 3319041290

DOWNLOAD EBOOK →

This volume collects a selection of contributions which has been presented at the 23rd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Vietri sul Mare, Salerno, Italy during May 23-24, 2013. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Society (ENNS) and IEEE Computational Intelligence Society (CIS). The book – as well as the workshop- is organized in two main components, a special session and a group of regular sessions featuring different aspects and point of views of artificial neural networks, artificial and natural intelligence, as well as psychological and cognitive theories for modeling human behaviors and human machine interactions, including Information Communication applications of compelling interest.

Research Anthology on Artificial Neural Network Applications

Research Anthology on Artificial Neural Network Applications PDF

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2021-07-16

Total Pages: 1575

ISBN-13: 1668424096

DOWNLOAD EBOOK →

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.

Artificial Neural Networks

Artificial Neural Networks PDF

Author: Patrick Chi Leung Hui

Publisher: Intechopen

Published: 2023

Total Pages: 0

ISBN-13: 9781837699940

DOWNLOAD EBOOK →

This book examines artificial neural networks (ANNs) and their applications in various fields. Chapters address ANNs and deep learning techniques for real-world applications in health care, materials processing, energy management, and more.

Artificial Neural Networks

Artificial Neural Networks PDF

Author: Kenji Suzuki

Publisher: BoD – Books on Demand

Published: 2011-04-11

Total Pages: 378

ISBN-13: 9533072431

DOWNLOAD EBOOK →

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 in various areas. The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications. The book begins with fundamentals of artificial neural networks, which cover an introduction, design, and optimization. Advanced architectures for biomedical applications, which offer improved performance and desirable properties, follow. Parts continue with biological applications such as gene, plant biology, and stem cell, medical applications such as skin diseases, sclerosis, anesthesia, and physiotherapy, and clinical and other applications such as clinical outcome, telecare, and pre-med student failure prediction. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in biomedical areas. The target audience includes professors and students in engineering and medical schools, researchers and engineers in biomedical industries, medical doctors, and healthcare professionals.

Artificial Neural Network Modelling

Artificial Neural Network Modelling PDF

Author: Subana Shanmuganathan

Publisher: Springer

Published: 2016-02-03

Total Pages: 472

ISBN-13: 3319284959

DOWNLOAD EBOOK →

This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.

Recent Advances in Artificial Neural Networks

Recent Advances in Artificial Neural Networks PDF

Author: L. C. Jain

Publisher: CRC Press

Published: 2018-05-04

Total Pages: 262

ISBN-13: 1351093118

DOWNLOAD EBOOK →

Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now. Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.

Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)

Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition) PDF

Author: Graupe Daniel

Publisher: World Scientific

Published: 2019-03-15

Total Pages: 440

ISBN-13: 9811201242

DOWNLOAD EBOOK →

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.

Lanterna Rally - Theme by Grace Themes