Basic HTML version of Foils prepared 15 March 1996

Foil 20 Neural Net Compared to Elastic Net

From Physical Optimization and Physical Computation CPSP713 Case studies in Computational Science -- Spring Semester 1996. by Geoffrey C. Fox
1 Classical Neural Network Approach to TSP
    • hip= 1 : city p visited at time i
    • = 0 : otherwise
    • With Constraint that
    • for each i only one hip nonzero
2 Elastic net (roughly)
    • hi = p multistate neuron
    • (actually position in space of cities)
3 Simic showed how neural network (Hopfield-Tank) and elastic net came from making different mean field approximations to the same physical free energy
in Table To:

Northeast Parallel Architectures Center, Syracuse University, npac@npac.syr.edu

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