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Neural Networks and Qualitative Physics

This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative;

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Neural Networks And Qualitative Physics

This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative;

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Differential Equations and Applications: Recent Advances

This book focuses on the latest developments in Nonlinear Dynamical Systems, Neural Networks, Fluid Dynamics, Fractional Differential;

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Statistical Mechanics of Neural Networks

chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have;

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Mathematical Aspects of Spin Glasses and Neural Networks

Aimed at graduates and potential researchers, this is a comprehensive introduction to the mathematical aspects of spin glasses and neural;

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Mathematical Aspects of Spin Glasses and Neural Networks

Aimed at graduates and potential researchers, this is a comprehensive introduction to the mathematical aspects of spin glasses and neural;

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Modeling Brain Function

underlying brain function, this book introduces and explains the techniques brought from physics to the study of neural networks and the insights;

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Designs and Applied Principles of Artificial Neural Networks

This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural;

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Deep Learning in Computational Mechanics

learning's fundamental concepts before neural networks are explained thoroughly. It then provides an overview of current topics in physics and;

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Deep Learning in Computational Mechanics

learning's fundamental concepts before neural networks are explained thoroughly. It then provides an overview of current topics in physics and;

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Stability Analysis of Neural Networks

This book discusses recent research on the stability of various neural networks with constrained signals. It investigates stability;

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Qualitative Analysis and Control of Complex Neural Networks with Delays

This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book;

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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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Complex Systems Dynamics (volume Ii)

physics of disordered systems, neural networks, and the origins of life. It is helpful for readers with a university education in science or;

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Evolutionary Machine Learning Techniques

networks, modular neural networks, physical neural networks, and deep neural networks. The book provides essential definitions, literature reviews;

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Evolutionary Machine Learning Techniques

networks, modular neural networks, physical neural networks, and deep neural networks. The book provides essential definitions;

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Complex-valued Neural Networks

Recent research indicates that complex-valued neural networks whose parameters (weights and threshold values) are all complex numbers are;

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Focus on Artificial Neural Networks

artificial neural networks in environmental sciences and chemical engineering; application of artificial neural networks in the development;

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Applied Neural Networks and Soft Computing

Applied Neural Networks and Soft Computing examines the relation between neural networks and soft computing. Neural network is a system;

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Complex-Valued Neural Networks

This book covers the hot topics and applications surrounding complex-valued neural networks. It demonstrates advanced theories with a wide;

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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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Proceedings of the 1993 Connectionist Models Summer School

underway in the field of neural networks. Although the slant of the summer school has always leaned toward cognitive science and artificial;

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Information-Theoretic Aspects of Neural Networks

Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory;

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Blind Equalization in Neural Networks

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms;

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Neural Networks with R

with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial;

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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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