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Este Cmap, tiene informaciĆ³n relacionada con: neural nets general, at least three layers of units or nodes, Neural Network Models typically have at least three layers, rules which change connection strength which allow achievement of prediction of pattern of activation, at least three layers include output units, Neural Network Models also called parallel distributed processing models, distributed representations without explicit represention of symbols or concepts, Neural Network Models sometimes considered alternative to information processing paradigm, Neural Network Models characterized by properties of units, distributed representations without explicit rules, concepts are represented as patterns of activation, rules which change connection strength one of which is back propagation of errors (BackProp), Learning through rules which change connection strength, Neural Network Models characterized by connections between units, distributed representations in which concepts, Neural Network Models consist of weighted connections, Neural Network Models can exhibit Learning, weighted connections are modified by rules which change connection strength, Neural Network Models also called connectionist networks, Neural Network Models characterized by rules which change connection strength, prediction of pattern of activation given input units