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Study of Neural Network Architecture and Applicability

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New Developments in Computer Networks

This new book presents and discusses current research in the study of computer networks. Topics discussed include an in-depth analysis;

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Neural Networks for Complete Beginners

learn the relationship between the neurons which make up the human brain and the artificial neurons. Artificial neural networks embrace the;

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Neural Networks Theory

, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized;

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Automated Deep Learning Using Neural Network Intelligence

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI;

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Deep Learning on Edge Computing Devices

learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and;

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Artificial Neural Networks with Java

edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps;

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Simulating Neural Networks with Mathematica

This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers;

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Artificial Neural Networks

-layered learning network based on simple math rules. The structure of an artificial neural network consists of an input layer, an output layer and;

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Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control;

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Introduction to the Theory of Neural Computation

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides;

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Introduction to the Theory of Neural Computation

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides;

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware;

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Neural Fuzzy Control Systems With Structure And Parameter Learning

A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a;

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Neural Network Analysis, Architectures and Applications

Neural Network Analysis, Architectures and Applications discusses the main areas of neural networks, with each authoritative chapter;

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Industrial Applications Of Neural Networks

comprehensive existing surveys of the applicability and use of neural networks in industry and services.;

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Hands-On Neural Networks

Design and create neural networks with deep learning and artificial intelligence principles using OpenAI Gym, TensorFlow, and Keras Key;

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New Developments In Artificial Neural Networks Research

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include a;

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New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks

monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the;

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Ultra Wide Band Band Pass Filter

This book provide the Detailed Knowledge of the design of Artificial Neural Network (ANN) based PID controller, to realize fast governor;

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Focus on Artificial Neural Networks

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include;

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Progress in Neural Networks

This is a study of the use of neural networks for machine vision. It is part of a series which reviews research in natural and synthetic;

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Artificial Neural Networks with Java

will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the;

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Artificial Neural Networks with Java

will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the;

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Neural Networks and Psychopathology

Research on connectionist models is one of the most exciting areas in cognitive science, and neural network models of psychopathology have;

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Neural Networks and Psychopathology

Research on connectionist models is one of the most exciting areas in cognitive science, and neural network models of psychopathology have;

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Bifurcation and Nonlinear Dynamics in Neural Network

dynamics and chaos into neural networks. In this book, a new type of neural network is introduced based on the nonlinear dynamics and chaos;

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