A learning system: Integrating ANN, OOKB and GA for decision support

Chung-Yong Tsai*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


This work presents a novel learning system which applies a fundamental approach to model human reasoning, information handling, and decision making. This learning system largely rests on the notion that humans inherit knowledge and information from their ancestors. Based on this core knowledge, the proposed system starts to learn and updates its knowledge by itself. Therefore, a basic knowledge system must be obtained first. In addition to the knowledge system, the proposed system also contains a neural network for learning and a genetic algorithm for making decisions. Moreover, the proposed system implements an example of jump chess. Simulation results demonstrate the effectiveness of the proposed learning system.

Original languageEnglish
Title of host publication IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)
Number of pages4
ISBN (Print)0-7803-5529-6
StatePublished - 1 Dec 1999
EventInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
Duration: 10 Jul 199916 Jul 1999


ConferenceInternational Joint Conference on Neural Networks (IJCNN'99)
CityWashington, DC, USA

Fingerprint Dive into the research topics of 'A learning system: Integrating ANN, OOKB and GA for decision support'. Together they form a unique fingerprint.

Cite this