Supervised learning in ANN – Bücher zum Thema Supervised learning in ANN finden und kaufen

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Nikola K. Kasabov
Springer Berlin
353.09 € · Hardcover

Deep knowledge representation Integration of human intelligence and artificial intelligence Deep learning of Time-Space data Spike-time learning Evolving spatio-temporal processes Interactions in Time-Space Evolving connectionist systems (ECOS) Transductive inference methods Knowledge-based ANN Evolving Fuzzy Neural Networks Supervised learning in ANN Convolutional ANN Training multilayer perceptron Evolving self-organizing maps Takagi-Sugeno fuzzy inference

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces f...

Research and Development in Intelligent Systems XX

Springer London
149.79 € · eBook

Artificial Intelligence Expert Systems Fuzzy Knowledge Based Systems Mutation cognition genetic algorithms intelligent systems knowledge knowledge base knowledge representation machine learning multi-agent system recommender system supervised learning

Frans Coenen University of Liverpool, UK This volume comprises the refereed technical papers presented at AI2003, the Twenty third SGAI International Conference on the theory, practice and application of Artificial Intelligence, held in Cambridge in December 2003. The conference was organised by SGA...

Research and Development in Intelligent Systems XX

Springer London
160.49 € · Paperback

Artificial Intelligence Expert Systems Fuzzy Knowledge Based Systems Mutation cognition genetic algorithms intelligent systems knowledge knowledge base knowledge representation machine learning multi-agent system recommender system supervised learning

Frans Coenen University of Liverpool, UK This volume comprises the refereed technical papers presented at AI2003, the Twenty third SGAI International Conference on the theory, practice and application of Artificial Intelligence, held in Cambridge in December 2003. The conference was organised by SGA...

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Nikola K. Kasabov
Springer Berlin
353.09 € · Paperback

Deep knowledge representation Integration of human intelligence and artificial intelligence Deep learning of Time-Space data Spike-time learning Evolving spatio-temporal processes Interactions in Time-Space Evolving connectionist systems (ECOS) Transductive inference methods Knowledge-based ANN Evolving Fuzzy Neural Networks Supervised learning in ANN Convolutional ANN Training multilayer perceptron Evolving self-organizing maps Takagi-Sugeno fuzzy inference

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces f...

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Nikola K. Kasabov
Springer Berlin
352.03 € · eBook

Deep knowledge representation Integration of human intelligence and artificial intelligence Deep learning of Time-Space data Spike-time learning Evolving spatio-temporal processes Interactions in Time-Space Evolving connectionist systems (ECOS) Transductive inference methods Knowledge-based ANN Evolving Fuzzy Neural Networks Supervised learning in ANN Convolutional ANN Training multilayer perceptron Evolving self-organizing maps Takagi-Sugeno fuzzy inference

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces f...

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