Method of optimizing a combination using a neural network

Details Method of optimizing a combination using a neural network Method of optimizing a combination using a neural network

1994-03-11

1995-09-19

MacDonald, Allen R.

Boots, shoes, and leggings

395 23, 395 24, 364491, G06F 1518

Patent

active

054524008

ABSTRACT:
A neural network for solving the problem of the optimization of the arrangement of at least two parts which are combined with each other through connecting wires. One neuron is assigned to each part. Each neuron has a synapse with a weight. Weights of the synapses of a neuron are initially set, and a learning process is repeated a while satisfying restricting conditions. In the learning process, the fittest neurons for all the coordinates of the positions at which the parts are disposed are selected in accordance with a predetermined standard while serially updating the weights of the synapses of the neurons so as to satisfy the restricting conditions. After the fittest neurons for all the coordinates of the positions are selected, judgment is made as to whether or not the arrangement obtained in the current learning cycle is closer to an optimal arrangement than any other arrangement which has been obtained in previous learning cycles. The optimal arrangement obtained from a set of learning cycles is provided as an indication of a quasi-optimal arrangement.

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Neuroport: Neuro Computing for multi objective design optimization for printed circuit board component placement Joseph Natt, IEEE/Jun. 1989.
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"Improvement of Performance of Leaning in Boltsman Machine and Application to Reorganization Optimization Problem", Research Materials for System Control Study Meeting, the Institute of Electrical Engineers of Japan, SC-91-2, pp. 17 to 18.

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