Title :
A Method to Determine the Structure of Neural Networks Applied to Expert Systems
Author :
Ma, Yunhong ; Xiang, Weidong ; Zhou, Deyun ; He, Jianhua
Author_Institution :
Northwestern Polytechnica Univ., China
Abstract :
Over the last few decades, artificial Neural Networks (NNs) has been studied well. NNs usually was used in prediction and decision making model. The key problem to design the NNs is to determine its structure. In this paper, we present an expert system based on NNs, and an efficient method is provided to determine the number of the hidden layer nodes. We take the NNs-based expert system for highway construction scheme as an example to demonstrate the feasibility of this method.
Keywords :
expert systems; neural nets; NNs-based expert system; artificial neural network; hidden layer node; Artificial neural networks; Automation; Databases; Decision making; Expert systems; Mechatronics; Modular construction; Neural networks; Road transportation; Soil; Expert System; Hidden layer node number; Neural Networks (NNs);
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.704
