Learning by diffusion for multilayer perceptron
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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 neutral network. Results indicate significant improvements over conventional learning methods. The new method can be easily implemented in existing hardware. >
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