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artificial neural network (ANN). It accelerates interaction between the two bodies of knowledge and fosters a unified development in the next;
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neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;
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neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;
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literature regarding the use of artificial neural networks for the modelling and optimization of food drying processes. The applications;
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problems and the utilisation of a swarm intelligence algorithm to obtain the optimum neural network structure. Also explored is the application;
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methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches;
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methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches;
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methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches;
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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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system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I;
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transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video;
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transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video;
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Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep;
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"Introduction to Neural Networks for Java" introduces the Java programmer to the world of Neural Networks and Artificial Intelligence;
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biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision;
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, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies;
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algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation.;
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and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing;
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; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal;
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; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal;
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; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal;
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In this richly illustrated book, deep neural network learning algorithms are explained informally first, followed by detailed mathematical;
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intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications;
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intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications;
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Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search;
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Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search;
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optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat;
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