TY - JOUR
KW - Genetic Algorithms
KW - Optimization
KW - Architecture
KW - Nonlinear Operation
KW - Multilayer Perceptron
AU - Hassan Ramchoun
AU - Youssef Ghanou
AU - Mohamed Ettaouil
AU - Mohammed Amine Janati Idrissi
AB - The multilayer perceptron has a large wide of classification and regression applications in many fields: pattern recognition, voice and classification problems. But the architecture choice has a great impact on the convergence of these networks. In the present paper we introduce a new approach to optimize the network architecture, for solving the obtained model we use the genetic algorithm and we train the network with a back-propagation algorithm. The numerical results assess the effectiveness of the theoretical results shown in this paper, and the advantages of the new modeling compared to the previous model in the literature.
IS - Special Issue on Artificial Intelligence Underpinning
M1 - 1
N2 - The multilayer perceptron has a large wide of classification and regression applications in many fields: pattern recognition, voice and classification problems. But the architecture choice has a great impact on the convergence of these networks. In the present paper we introduce a new approach to optimize the network architecture, for solving the obtained model we use the genetic algorithm and we train the network with a back-propagation algorithm. The numerical results assess the effectiveness of the theoretical results shown in this paper, and the advantages of the new modeling compared to the previous model in the literature.
PY - 2016
SP - 26
EP - 30
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Multilayer Perceptron: Architecture Optimization and Training
UR - http://www.ijimai.org/JOURNAL/sites/default/files/files/2016/02/ijimai20164_1_5_pdf_30533.pdf
VL - 4
SN - 1989-1660
ER -