TY - GEN

T1 - Design architectures and training of neural networks with a distributed genetic algorithm

AU - Oliker, S.

AU - Furst, M.

AU - Maimon, O.

PY - 1993

Y1 - 1993

N2 - Designing and training neural networks using a distributed genetic algorithm reinforced by the perceptron learning rule is shown. The method sets the neural network's architecture and weights for a given task where the network comprised of binary, linear threshold units. For the genetic algorithm we defined an objective function (fitness) which considers for each unit primarily, the overall network error, and secondarily, the unit's possible connections and weights that are preferable for continuity of the convergence process. Simultaneously, on purpose to accelerate the learning process, we use the perceptron learning rule to search a better unit input connection weights set. Examples are given showing the potential of the proposed approach.

AB - Designing and training neural networks using a distributed genetic algorithm reinforced by the perceptron learning rule is shown. The method sets the neural network's architecture and weights for a given task where the network comprised of binary, linear threshold units. For the genetic algorithm we defined an objective function (fitness) which considers for each unit primarily, the overall network error, and secondarily, the unit's possible connections and weights that are preferable for continuity of the convergence process. Simultaneously, on purpose to accelerate the learning process, we use the perceptron learning rule to search a better unit input connection weights set. Examples are given showing the potential of the proposed approach.

UR - http://www.scopus.com/inward/record.url?scp=84943234345&partnerID=8YFLogxK

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AN - SCOPUS:84943234345

SN - 0780312007

T3 - 1993 IEEE International Conference on Neural Networks

SP - 199

EP - 202

BT - 1993 IEEE International Conference on Neural Networks

A2 - Anon, null

PB - Publ by IEEE

T2 - 1993 IEEE International Conference on Neural Networks

Y2 - 28 March 1993 through 1 April 1993

ER -