International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
Architecture determination of Artificial Neural Networks (ANNs) is an important issue for the successful application of ANNs in many practical problems. It is well known that a three layered ANN can solve any kind of linear and nonlinear problems. This study proposes a new pruning algorithm, Architecture Designing by Correlation and Sensitivity Pruning (ADCSP), to determine the three layered near optimal ANN architectures automatically. The salient features of ADCSP are that it uses correlations, apply merging operation, uses computationally inexpensive formula, maintain its generalization ability and avoid overfitting. It has been tested extensively on a number of benchmark problems in machine learning and neural networks. The experimental results show that ADCSP can determine smaller architectures with good generalization ability compared to many other works.
How to cite this article:
Suman Ahmmed , Khondaker Abdullah-Al-Mamun and Monirul Islam . A Novel Algorithm for Designing Three Layered Artificial Neural Networks.
DOI: https://doi.org/10.36478/ijscomp.2007.450.458
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2007.450.458