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Neurocomputation in Remote Sensing Data Analysis

demonstrates a wide range of uses of neural networks for remote sensing applications and provides the views of a large number European experts brought;

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Complex-valued Neural Networks

neural devices and systems, spatiotemporal analysis of physiological neural systems, and artificial neural information processing. In this first;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Unconventional Computation and Natural Computation

computing; physarum computing; computation in hyperbolic spaces; collision-based computing; cellular automata; neural computation; evolutionary;

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Evolutionary Algorithms and Neural Networks

This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At;

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Computational Vision and Bio Inspired Computing

algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks;

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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Advances in Neural Networks - ISNN 2016

; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural;

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Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation

Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented;

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Advances In Remote Sensing And Gis Analysis

particular emphasis on mathematical techniques and their application. It covers techniques such as fuzzy classification, artificial neural networks;

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Computationally Intelligent Systems and their Applications

This book covers all core technologies like neural networks, fuzzy systems, and evolutionary computation and their applications in the;

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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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Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting

, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are;

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Recent Trends in Image and Signal Processing in Computer Vision

based on computation at some level, e.g. artificial neural networks, evolutionary algorithms, fuzzy systems, and automatic medical;

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Intelligent System Applications In Power Engineering

This text on evolutionary computation presents an account of neural network and evolutionary programming applications as optimization;

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Combinatorial Development of Solid Catalytic Materials

optimization and artificial neural networks - are described. The book is unique in that it describes evolutionary optimization in a broader context;

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Machine Intelligence and Smart Systems

algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation.;

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Artificial Neural Networks for Engineers and Scientists

equations, and these methods are presented in Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations. This;

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Ecological Modeling

around the world. This book presents models, methods and theories on ecological modelling. Topics discussed include artificial neural networks;

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Evolutionary Programming IV

methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics;

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Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series

Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented;

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Artificial Neural Networks and Machine Learning - ICANN 2019: Workshop and Special Sessions

Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented;

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Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning

Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented;

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Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing

Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented;

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