An artificial neural network (ANN) is a type of artificial intelligence technology which implements more complex data-analysis features into existing applications by an intelligent, human-like application of knowledge. ANN can be considered as a mathematical or computational model based on biological (brain) neural networks. ANN is an adaptive system that changes its structure based on external or internal information that is processed within the network during the learning stage. ANNs implement algorithms that attempt to achieve neurologically-related processes and performances such as learning from experience, making generalisations from similar situations and judging states where poor results were achieved in the past. This new and important book gathers the most current research from across the globe in the study of artificial neural networks.
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IJCNN '01: International Joint Conference on Neural Networks : Washington, DC, July 15-19, 2001 : Proceedings
IJCNN '99 spans the neural network field from neurons to consciousness, training algorithms to robotics, chaos to control, fuzzy logic to evolutionary computing.
IJCNN'02: Proceedings of the 2002 International Joint Conference on Neural Networks : May 12-17, 2002, Hilton Hawaiian Village Hotel, Honolulu,...