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Circuit Complexity and Neural Networks

amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how;

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Information-Theoretic Aspects of Neural Networks

this burgeoning discipline, covering topics such as: Shannon information and information dynamics neural complexity as an information;

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Neural Networks Theory

This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory;

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Sensory Neural Networks

Networks: Lateral Inhibition is an interdisciplinary work that will prove useful to neural network theorists, biologists, circuit designers, and;

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Revival: Sensory Neural Networks (1991)

Networks: Lateral Inhibition is an interdisciplinary work that will prove useful to neural network theorists, biologists, circuit designers, and;

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Exploring Neural Networks with C#

especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical. Exploring Neural;

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Complexity and Evolution of Dissipative Systems

This book focuses on the dynamic complexity of neural, genetic networks, and reaction diffusion systems. The author shows that all robust;

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Exploring Neural Networks with C#

especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural;

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Neural Networks and Analog Computation: Beyond the Turing Limit

The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer;

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Chaos & Complexity

, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics;

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Chaos & Complexity

, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics;

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Chaos & Complexity Research Compendium

, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity;

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Using Artificial Neural Networks for Analog Integrated Circuit Design Automation

This book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural;

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Progress in Chaos Complexity Research

, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics;

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Chaos & Complexity Research Compendium

, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The;

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Chaos & Complexity Reasearch Compendium

, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The;

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Applications of Artificial Neural Networks for Nonlinear Data

respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology;

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Cellular Neural Networks, Multi-scroll Chaos And Synchronization

design principles. This perspective is the basis of the three cornerstones of this book: cellular neural networks, chaos and synchronization;

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Neural Network Design and the Complexity of Learning

rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the;

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New Research on Chaos & Complexity

, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The;

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Developments in Chaos & Complexity Research

, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel;

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Circuit Design Considerations for Implantable Devices

biomedical background to understand design challenges and trade-offs for implantable devices, especially neural interfacing. Technical topics;

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Artificial Neural Network Applications in Business and Engineering

intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications;

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Artificial Neural Network Applications in Business and Engineering

intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

book for graduate students and academic and industrial researchers studying neural dynamics, neural networks, analog and digital circuits;

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New Developments In Artificial Neural Networks Research

in chromatography and spectroscopy; heterogeneous neural networks and tuning differential evolution for artificial neural networks.;

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