Neural Computing Applications

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Tap into the most recent developments in the field of practical applications of neural computing and related techniques with the Neural Computing and Applications app. Neural Computing and Applications is an international peer-reviewed journal published by Springer Science+Business Media. The Journal publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.

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- Document details - including abstracts

Coverage includes: contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and case histories of innovative applications.

Neural Computing and Applications is the official journal of the Natural Computing & Applications Forum (NCAF). The Natural Computing & Applications Forum is an independent, non-profit making organisation which offers natural computing practitioners the opportunity to meet and share expertise in a friendly environment. The NCAF's mission is to promote widespread exploitation of natural computing technology by providing a focus for natural computing practitioners; disseminating information on all aspects of natural computing; and encouraging close cooperation between industrialists and academics.