Handbook of Neural Computation

• Author : Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
• Publisher : Academic Press
• Release : 28 July 2017

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 : Emile Fiesler,Russell Beale
• Publisher : CRC Press
• Release : 15 January 2020

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 : Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
• Publisher : Academic Press
• Release : 18 July 2017

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 : 10 May 2014

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 : Emile Fiesler,Russell Beale
• Publisher : CRC Press
• Release : 01 January 1997

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 : Monica Bianchini,Marco Maggini,Lakhmi C. Jain
• Publisher : Springer Science & Business Media
• Release : 12 April 2013

This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformatics This book is thought particularly for graduate students,

• Author : Yu Hen Hu,Jenq-Neng Hwang
• Publisher : CRC Press
• Release : 03 October 2018

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 : Anonim
• Publisher : Unknown
• Release : 27 January 1997

• Author : Alianna J. Maren,Craig T. Harston,Robert M. Pap
• Publisher : Unknown
• Release : 27 January 1990

Computing Methodologies -- Artificial Intelligence.

• Author : Michael A. Arbib,Prudence H. Arbib
• Publisher : MIT Press
• Release : 27 January 2023

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 : Yu Hen Hu,Jenq-Neng Hwang
• Publisher : CRC Press
• Release : 03 October 2018

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 : Leszek Rutkowski
• Publisher : Springer Science & Business Media
• Release : 20 March 2013

This volume presents new trends and developments in soft computing techniques. Topics include: neural networks, fuzzy systems, evolutionary computation, knowledge discovery, rough sets, and hybrid methods. It also covers various applications of soft computing techniques in economics, mechanics, medicine, automatics and image processing. The book contains contributions from internationally recognized scientists, such as Zadeh, Bubnicki, Pawlak, Amari, Batyrshin, Hirota, Koczy, Kosinski, Novák, S.-Y. Lee, Pedrycz, Raudys, Setiono, Sincak, Strumillo, Takagi, Usui, Wilamowski and Zurada. An excellent overview of

• Author : Anonim
• Publisher : IOS Press
• Release : 27 January 2023

• Author : Sharlene Nagy Hesse-Biber,Patricia Leavy
• Publisher : Guilford Press
• Release : 22 February 2008

Social researchers increasingly find themselves looking beyond conventional methods to address complex research questions. The Handbook of Emergent Methods is the first book to comprehensively examine emergent qualitative and quantitative theories and methods across the social and behavioral sciences. Providing scholars and students with a way to retool their research choices, the volume presents cutting-edge approaches to data collection, analysis, and representation. Leading researchers describe alternative uses of traditional quantitative and qualitative tools; innovative hybrid or mixed methods; and new

• Author : W. Sandham,M. Leggett
• Publisher : Springer Science & Business Media
• Release : 29 June 2013

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved