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Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing;
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(evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication;
Vergelijkbare producten zoals Applications of Evolutionary Computation
(evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication;
Vergelijkbare producten zoals Applications of Evolutionary Computation
: EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;
Vergelijkbare producten zoals Applications of Evolutionary Computation
), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;
Vergelijkbare producten zoals Applications of Evolutionary Computation
), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;
Vergelijkbare producten zoals Applications of Evolutionary Computation
submissions. The papers were organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection;
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recognition; evolutionary machine learning; parallel and distributed systems; and applications of nature inspired computing for sustainability and;
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mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;
Vergelijkbare producten zoals Nature-Inspired Computation in Data Mining and Machine Learning
mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;
Vergelijkbare producten zoals Nature-Inspired Computation in Data Mining and Machine Learning
functioning of the brain; evolutionary computation inspired by Darwinian evolution of species; cellular automata inspired by intercellular;
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is concerned with various proposals for computation that go beyond the Turing model, human designed computation inspired by nature, and with the;
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engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a;
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Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image;
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areas and challenges, present the state of the art of brain-inspired cognitive systems research and applications in diverse fields by covering;
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learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own;
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Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization;
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learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;
Vergelijkbare producten zoals Intelligent Computing Theories and Application
learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;
Vergelijkbare producten zoals Intelligent Computing Theories and Application
learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;
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networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by;
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Brain Inspired Cognitive Systems 2008 (June 24-27, 2008; Sao Luis, Brazil) brought together leading scientists and engineers who use;
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memory, behavior and emotion, motor controls, dynamics, neural computation, neural networks, and brain-inspired intelligent machines.;
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177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for;
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of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by;
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algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data;
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This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and;
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