reports available

[Gerhard Weiss]

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The following two reports are available.




    COMBINING NEURAL AND EVOLUTIONARY LEARNING: ASPECTS AND APPROACHES
                           Report FKI-132-90
                             Gerhard Weiss


This report focusses on the intersection of neural and evolutionary learning
and shows basic aspects of and current approaches to the combination of these
two learning paradigms. Advantages and difficulties of such a combination are
described. Approaches from both the field of artificial intelligence and the
neurosciences are surveyed. A number of related works as well as extensive
references to further literature are presented.

Contents: - Hybrid approaches in artificial intelligence
            . Evolutionary design of artificial neural networks
            . Evolutionary training of artificial neural networks
            . Further hybrid approaches and related works
          - Selective theories in the neurosciences
            . The evolutionary selection circuits model of learning
              (Conrad et.al.)
            . The theories of selective stabilization of
              synapses and pre-representations (Changeux et.al.)
            . The theory of neuronal group selection (Edelman)




                        ARTIFICIAL NEURAL LEARNING
                            Report FKI-127-90
                              Gerhard Weiss


This report provides an introducing overview of the foundations and
the principles of learning in artificial neural networks.

Contents: - General aspects
            (artificial neural nets / adaptation rules /
            gradient-following / ...)
          - Supervised learning
            (perceptron convergence procedure / backprop / Boltzmann learning)
          - Associative reinforcement learning
            (associative reward-penalty algorithm / reinforcement comparison
            procedures / REINFORCE algorithms)
          - Unsupervised learning
            (topology-preserving feature maps / adaptive resonance theory /
            development of feature analyzing cells)




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                      or Gerhard Weiss
                         Institut fuer Informatik -H2-
                         Technische Universitaet Muenchen
                         Arcisstrasse 21
                         D-8000 Muenchen 2
                         Fed.Rep.Germany