Handbook of Neural Computation

• Author : Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
• Publisher : Academic Press
• Release Date : 2017-07-18
• ISBN : 9780128113196

Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor

• Author : Alianna J. Maren,Craig T. Harston,Robert M. Pap
• Publisher : Academic Press
• Release Date : 2014-05-10
• ISBN : 9781483264844

Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Other papers deal with specific neural network types, and also on selecting, configuring, and implementing neural networks. Other papers address specific applications including neurocontrol for the benefit of control engineers and for

• Author : Michael A. Arbib,Prudence H. Arbib
• Publisher : MIT Press
• Release Date : 2003
• ISBN : 9780262011976

This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

• Author : E Fiesler,R Beale
• Publisher : CRC Press
• Release Date : 1996-01-01
• ISBN : 0750303123

The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar problems. It is unmatched in the breadth of its coverage and is certain to become the standard reference resource for the neural network community.

• Author : Emile Fiesler,Russell Beale
• Publisher : CRC Press
• Release Date : 2020-01-15
• ISBN : 9781420050646

The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl

• Author : Yu Hen Hu,Jenq-Neng Hwang
• Publisher : CRC Press
• Release Date : 2018-10-03
• ISBN : 9781420038613

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech,

• Author : Emile Fiesler,Russell Beale
• Publisher : CRC Press
• Release Date : 1997-01-01
• ISBN : 075030524X

In recent years, neural computation has developed from a specialized research discipline into a broadly based and dynamic activity with applications in an astonishing variety of fields. Many scientists, engineers and other practitioners are now using neural networks to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. The inaugural volume in the Computational Intelligence Library provides speedy dissemination of new ideas to a broad spectrum of neural network users, designers and implementers.

• Author : Gene I. Sher
• Publisher : Springer Science & Business Media
• Release Date : 2012-11-06
• ISBN : 9781461444633

Handbook of Neuroevolution Through Erlang presents both the theory behind, and the methodology of, developing a neuroevolutionary-based computational intelligence system using Erlang. With a foreword written by Joe Armstrong, this handbook offers an extensive tutorial for creating a state of the art Topology and Weight Evolving Artificial Neural Network (TWEANN) platform. In a step-by-step format, the reader is guided from a single simulated neuron to a complete system. By following these steps, the reader will be able to use novel

• Author : R Beale,T Jackson
• Publisher : CRC Press
• Release Date : 1990-01-01
• ISBN : 1420050435

Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function. A comprehensive and comprehensible introduction to the subject, this book is

• Author : Metin Akay
• Publisher : John Wiley & Sons
• Release Date : 2007-01-09
• ISBN : 9780470068281

An important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing academia, industry, and private and government organizations present peer-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain, and neurons. The Handbook of Neural Engineering covers: Neural

• Author : Romain Brette,Alain Destexhe
• Publisher : Cambridge University Press
• Release Date : 2012-09-06
• ISBN : 9780521516228

Underlying principles of the various techniques are explained, enabling neuroscientists to extract meaningful information from their measurements.

• Author : Vishal Jain,Sapna Juneja,Abhinav Juneja,Ramani Kannan
• Publisher : CRC Press
• Release Date : 2021-11-02
• ISBN : 9781000455687

Technology is moving at an exponential pace in this era of computational intelligence. Machine learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new machine learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach, which makes machine learning

• Author : Vijay V Raghavan,Venkat N. Gudivada,Venu Govindaraju,C.R. Rao
• Publisher : Elsevier
• Release Date : 2016-09-10
• ISBN : 9780444637512

Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface. Comprehensively presents the various aspects of statistical methodology Discusses a wide variety

• Author : Pietro Michelucci
• Publisher : Springer Science & Business Media
• Release Date : 2013-12-04
• ISBN : 9781461488064

This volume addresses the emerging area of human computation, The chapters, written by leading international researchers, explore existing and future opportunities to combine the respective strengths of both humans and machines in order to create powerful problem-solving capabilities. The book bridges scientific communities, capturing and integrating the unique perspective and achievements of each. It coalesces contributions from industry and across related disciplines in order to motivate, define, and anticipate the future of this exciting new frontier in science and cultural

• Author : Charu C. Aggarwal
• Publisher : Springer
• Release Date : 2018-08-25
• ISBN : 9783319944630

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the