TY - GEN
T1 - A method to determine the structure of neural networks applied to expert systems
AU - Ma, Yunhong
AU - Xiang, Weidong
AU - Zhou, Deyun
AU - He, Jianhua
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Expert system
KW - Hidden layer node number
KW - Neural networks (NNs)
UR - http://www.scopus.com/inward/record.url?scp=77953162480&partnerID=8YFLogxK
U2 - 10.1109/ICMTMA.2010.704
DO - 10.1109/ICMTMA.2010.704
M3 - 会议稿件
AN - SCOPUS:77953162480
SN - 9780769539621
T3 - 2010 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010
SP - 145
EP - 148
BT - 2010 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010
T2 - International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010
Y2 - 13 March 2010 through 14 March 2010
ER -