Handbook of Neural Computing Applications Book [PDF] Download

Download the fantastic book titled Handbook of Neural Computing Applications written by Alianna J. Maren, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Handbook of Neural Computing Applications", which was released on 10 May 2014. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Handbook of Neural Computing Applications by Alianna J. Maren PDF

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 neural networks researchers. Other applications involve signal processing, spatio-temporal pattern recognition, medical diagnoses, fault diagnoses, robotics, business, data communications, data compression, and adaptive man-machine systems. One paper describes data compression and dimensionality reduction methods that have characteristics, such as high compression ratios to facilitate data storage, strong discrimination of novel data from baseline, rapid operation for software and hardware, as well as the ability to recognized loss of data during compression or reconstruction. The collection can prove helpful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers related to programming, hardware interface, networking, engineering or design.


Detail About Handbook of Neural Computing Applications PDF

  • Author : Alianna J. Maren
  • Publisher : Academic Press
  • Genre : Computers
  • Total Pages : 470 pages
  • ISBN : 148326484X
  • PDF File Size : 44,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Handbook of Neural Computing Applications

Handbook of Neural Computing Applications
  • Publisher : Academic Press
  • File Size : 21,9 Mb
  • Release Date : 10 May 2014
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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

Handbook of Neural Computation

Handbook of Neural Computation
  • Publisher : Academic Press
  • File Size : 39,6 Mb
  • Release Date : 18 July 2017
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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

Guide to Neural Computing Applications

Guide to Neural Computing Applications
  • Publisher : Elsevier
  • File Size : 23,6 Mb
  • Release Date : 30 January 1998
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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

Handbook of Neural Computation

Handbook of Neural Computation
  • Publisher : Academic Press
  • File Size : 28,8 Mb
  • Release Date : 28 July 2017
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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

Handbook of Neural Network Signal Processing

Handbook of Neural Network Signal Processing
  • Publisher : CRC Press
  • File Size : 23,9 Mb
  • Release Date : 03 October 2018
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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.

Handbook of Neural Computation

Handbook of Neural Computation
  • Publisher : CRC Press
  • File Size : 28,6 Mb
  • Release Date : 01 January 1996
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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 of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks
  • Publisher : MIT Press
  • File Size : 34,9 Mb
  • Release Date : 11 June 2024
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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

Cognitive Computing: Theory and Applications

Cognitive Computing: Theory and Applications
  • Publisher : Elsevier
  • File Size : 36,5 Mb
  • Release Date : 10 September 2016
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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

Artificial Neural Network Applications in Business and Engineering

Artificial Neural Network Applications in Business and Engineering
  • Publisher : IGI Global
  • File Size : 25,9 Mb
  • Release Date : 08 January 2021
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In today’s modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that

Research Anthology on Artificial Neural Network Applications

Research Anthology on Artificial Neural Network Applications
  • Publisher : IGI Global
  • File Size : 34,8 Mb
  • Release Date : 16 July 2021
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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.