Title :
Structure determination of artificial neural network using modified cellular encoding
Author :
Alim, Md Abdul ; Rabbani, Md Golam ; Azad, Mohammad Mohiuddin
Author_Institution :
Bangladesh Univ. of Eng. & Technol., Dhaka
Abstract :
This paper works with a new evolutionary system to construct and control the structure of feed forward artificial neural networks (ANNs), represented by modified cellular encoding (MCE) that is not subject to the well-known permutation problem. It is shown in this paper that addition or deletion of nodes or connections can evidently be done by crossover automatically. Hence, the number of user specified parameter is also decreased. The ANN architecture determination algorithm is tested on some real world problems. The algorithm is made adaptive.
Keywords :
evolutionary computation; feedforward neural nets; neural net architecture; artificial neural network structure determination; evolutionary system; feed forward artificial neural networks; modified cellular encoding; Artificial neural networks; Automatic control; Cellular networks; Cellular neural networks; Electronic mail; Encoding; Neural networks; Neurons; Paper technology; Tree graphs; Artificial Neural Network; Evolutionary Process; Modified Cellular Encoding; Permutation problem;
Conference_Titel :
Computer and information technology, 2007. iccit 2007. 10th international conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4244-1550-2
Electronic_ISBN :
978-1-4244-1551-9
DOI :
10.1109/ICCITECHN.2007.4579425
