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 -