DocumentCode
306446
Title
Neural engineering in management application
Author
Zhou, Zhonglin ; Tao ; Xu, Yongqin ; Bode, Jeurgen ; Ren, Shouju
Author_Institution
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Volume
2
fYear
1996
fDate
14-17 Oct 1996
Firstpage
1399
Abstract
Describes the concept of neural engineering which supports decision-making in the systematic construction of neural networks. We gave some guidelines on building neural networks tailored to a specific applications, such as: what is the optimal number of hidden nodes, how to prune the input nodes, segregation and transformation of data etc. Experiments were carried on cost estimation using a multi-layer perceptron (backpropagation algorithm)
Keywords
backpropagation; costing; multilayer perceptrons; backpropagation algorithm; cost estimation; data segregation; data transformation; decision-making; hidden nodes; input nodes pruning; management; multi-layer perceptron; neural engineering; Artificial neural networks; Automation; Backpropagation algorithms; Buildings; Cost function; Engineering management; Guidelines; Manufacturing; Neural engineering; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.571316
Filename
571316
Link To Document