Learning by diffusion for multilayer perceptron

Abstract
A method of nonlinear optimisation based on simulating diffusion processes is discussed and applied as a self-organisation or learning tool for the multilayer perceptron neural network. Results indicate significant improvements over conventional learning methods. The new method can be easily implemented in existing hardware.

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