Please use this identifier to cite or link to this item:
Title: Genetic construction of neural logic networks
Authors: Tan, C.L. 
Chia, H.W.K. 
Issue Date: 2001
Citation: Tan, C.L.,Chia, H.W.K. (2001). Genetic construction of neural logic networks. Proceedings of the International Joint Conference on Neural Networks 1 : 732-737. ScholarBank@NUS Repository.
Abstract: Genetic construction of neural networks pertains to a process where the architecture of a neural network evolves through genetic algorithms or genetic programming. This paper describes a genetic programming approach that constructs neural logic networks from training examples. Neural logic network, unlike ordinary networks, allows representation of a great multitude of logic operations used in human decision making. The proposed method not only enables construction of the network from scratch, but also preserves the semantic contents of the network after training.
Source Title: Proceedings of the International Joint Conference on Neural Networks
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on May 18, 2019

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.