Path: utzoo!attcan!uunet!bu.edu!bucasb!reynolds From: reynolds@bucasd.bu.edu (John Reynolds) Newsgroups: comp.ai.neural-nets Subject: Re: SUMMARY OF RESPONSES: Introduction to NN Message-ID: Date: 2 Oct 90 21:15:45 GMT References: <5058@uqcspe.cs.uq.oz.au> Sender: news@bu.edu.bu.edu Organization: Boston University Center for Adaptive Systems Lines: 35 In-reply-to: bakker@batserver.cs.uq.oz.au's message of 1 Oct 90 05:58:21 GMT A clearly written introduction to the field is Patrick K. Simpson's Artificial Neural Systems: Foundations, Paradigms, Applications, and Implementations- 1st edition. Pergamon Press (1990) It presents the following paradigms/models in a unified notation which facilitates comparison: UNSUPERVISED FEEDFORWARD LEARNING AND RECALL SYSTEMS: learning matrix, drive reinforcement, sparse distributed memory, linear associative memory, optimal linear associative memory, fuzzy associative memory, learning vector quantizer, and counter propagation UNSUPERVISED FEEDBACK LEARNING AND RECALL SYSTEMS: additive grossberg, shunting grossberg, binary adaptive resonance theory (ART1), analog adaptive resonance theory (ART2), discrete autocorrelator, continuous hopfield, discrete bidirectional associative memory, adaptive bidirectional associative memory, temporal associative memory SUPERVISED FEEDBACK LEARNING AND RECALL SYSTEMS: brain-state-in-a-box, fuzzy cognitive map SUPERVISED FEEDFORWARD LEARNING AND RECALL SYSTEMS: perceptron, adaline/madaline, backpropagation, boltzmann machine, cauchy machine, adaptive heuristic critic, associative reward-penalty, avalanche matched filter It also describes in precis form the past contributions of the following researchers, and indicates their present research interests: McCulloch and Pitts, Hebb, Minsky, Uttley, Rosenblatt, Widrow, Steinbuch, Grossberg, Amari, Anderson, Longuet-Higgins, Willshaw, and Bunemann, Fukushima, Klopf, Kohonen, Copper, Erlbaum, Sejnowski, McClelland, Rumelhart, Sutton and Barto, Feldman, Ballard, Hecht-Nielsen, Hopfield and Tank, Mead, and Kosko.