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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1783.1/52
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| Title: | Constructive feedforward neural networks for regression problems : a survey |
| Authors: | Kwok, Tin-Yau
Yeung, Dit-Yan |
| Issue Date: | Sep-1995 |
| Series/Report no.: | Computer Science Technical Report ; HKUST-CS95-43 |
| Abstract: | In this paper, we review the procedures for constructing feedforward neural networks in regression problems. While standard back-propagation performs gradient descent only in the weight space of a network with fixed topology, constructive procedures start with a small network and then grow additional hidden units and weights until a satisfactory solution is found. The constructive procedures are categorized according to the resultant network architecture and the learning algorithm for the network weights. |
| URI: | http://hdl.handle.net/1783.1/52 |
| Appears in Collections: | CSE Technical Reports
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Files in This Item:
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Size | Format |
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| tr9543.pdf | | 277Kb | Adobe PDF | View/Open |
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