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Handbook of Neural Computation

Handbook of Neural Computation
  • Author : Pijush Samui
  • Publsiher : Academic Press
  • Release : 28 July 2017
  • ISBN : 9780128113189
  • Pages : 600 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKHandbook of Neural Computation

Summary:
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 presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations such as data prediction, classification of images, analysis of big data, and intelligent decision making, Handbook of Neural Computation provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, Bayesian networks, Gaussian process regression, as well as support, relevance, and least square support vector machines Discusses machine learning techniques including classification, clustering, regression, web mining, information retrieval, and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods


Handbook of Neural Computation

Handbook of Neural Computation
  • Author : Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
  • Publisher : Academic Press
  • Release : 28 July 2017
GET THIS BOOKHandbook of Neural Computation

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

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Handbook of Neural Computation

Handbook of Neural Computation
  • Author : Emile Fiesler,Russell Beale
  • Publisher : CRC Press
  • Release : 01 January 1997
GET THIS BOOKHandbook of Neural Computation

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.

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Handbook of Neural Computation

Handbook of Neural Computation
  • Author : Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
  • Publisher : Academic Press
  • Release : 18 July 2017
GET THIS BOOKHandbook of Neural Computation

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

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Handbook of Neural Computation

Handbook of Neural Computation
  • Author : E Fiesler,R Beale
  • Publisher : CRC Press
  • Release : 01 January 1996
GET THIS BOOKHandbook of Neural Computation

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.

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Springer Handbook of Computational Intelligence

Springer Handbook of Computational Intelligence
  • Author : Janusz Kacprzyk,Witold Pedrycz
  • Publisher : Springer
  • Release : 28 May 2015
GET THIS BOOKSpringer Handbook of Computational Intelligence

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence

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Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision
  • Author : Arcangelo Distante,Cosimo Distante
  • Publisher : Springer Nature
  • Release : 30 May 2020
GET THIS BOOKHandbook of Image Processing and Computer Vision

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 2 (From Image to Pattern) examines image transforms, image restoration, and image segmentation.

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Handbook of Deep Learning Applications

Handbook of Deep Learning Applications
  • Author : Valentina Emilia Balas,Sanjiban Sekhar Roy,Dharmendra Sharma,Pijush Samui
  • Publisher : Springer
  • Release : 25 February 2019
GET THIS BOOKHandbook of Deep Learning Applications

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in

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Handbook of Machine Learning for Computational Optimization

Handbook of Machine Learning for Computational Optimization
  • Author : Vishal Jain,Sapna Juneja,Abhinav Juneja,Ramani Kannan
  • Publisher : CRC Press
  • Release : 03 November 2021
GET THIS BOOKHandbook of Machine Learning for Computational Optimization

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

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The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks
  • Author : Michael A. Arbib,Fletcher Jones Professor of Computer Science and Professor of Biological Sciences Biomedical Engineering Neuroscience and Psychology Michael A Arbib,Prudence H. Arbib
  • Publisher : MIT Press
  • Release : 17 January 2022
GET THIS BOOKThe Handbook of Brain Theory and Neural Networks

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).

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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare
  • Author : Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi,Asit Kumar Das
  • Publisher : Academic Press
  • Release : 08 April 2021
GET THIS BOOKHandbook of Computational Intelligence in Biomedical Engineering and Healthcare

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important

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Handbook of Fuzzy Computation

Handbook of Fuzzy Computation
  • Author : E Ruspini,P Bonissone,W Pedrycz
  • Publisher : CRC Press
  • Release : 05 March 2020
GET THIS BOOKHandbook of Fuzzy Computation

Initially conceived as a methodology for the representation and manipulation of imprecise and vague information, fuzzy computation has found wide use in problems that fall well beyond its originally intended scope of application. Many scientists and engineers now use the paradigms of fuzzy computation to tackle problems that are either intractable

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The Routledge Handbook of the Computational Mind

The Routledge Handbook of the Computational Mind
  • Author : Mark Sprevak,Matteo Colombo
  • Publisher : Routledge
  • Release : 04 September 2018
GET THIS BOOKThe Routledge Handbook of the Computational Mind

Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour? The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection

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Handbook of Mathematics and Computational Science

Handbook of Mathematics and Computational Science
  • Author : John W. Harris,Horst Stöcker
  • Publisher : Springer Science & Business Media
  • Release : 23 July 1998
GET THIS BOOKHandbook of Mathematics and Computational Science

This book gathers thousands of up-to-date equations, formulas, tables, illustrations, and explanations into one invaluable volume. It includes over a thousand pages of mathematical material as well as chapters on probability, mathematical statistics, fuzzy logic, and neural networks. It also contains computer language overviews of C, Fortran, and Pascal.

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