TY  - JOUR
T1  - Application of Grammars of Kitano Graph Generation for Coding of Structure of Feedforward Artificial Neural Network
AU - Akinin, M.V. AU - Akinina, N.V. AU - Kolesnikov, A.N. AU - Sokolova, A.V. AU - Soldatenko, I.S. 
JO  - Research Journal of Applied Sciences
VL  - 10
IS  - 12
SP  - 815
EP  - 818
PY  - 2015
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2015.815.818
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2015.815.818
KW  - Artificial neural network
KW  -feedforward neural network
KW  -grammars of Kitano graph generation
KW  -Genetic algorithm
KW  -classification
KW  -tree-like classifier
AB  - In this study, we have considered one of developments of grammars of Kitano graph generation theory as an approach to describing structure of feedforward Artificial Neural Network (ANN) within the context of application of Genetic algorithms for search of its optimal structure. We have described in details applied Genetic algorithm of search of optimal feedforward ANN structure. Results of the experiments have been provided within the framework of which solution for complex realization task was given, namely the task of dividing classes “Softwood forest” and “Mixed forest”.
ER  -