TY - GEN
T1 - A big-neuron based expert system
AU - Li, Tao
AU - Li, Hongbin
PY - 2006
Y1 - 2006
N2 - With a new way of knowledge representation and acquirement, inference, and building an expert system based on big-neurons composed of different field expert knowledge presented in this paper, the fundamental theory and architecture of expert system based upon big-neuron theory has thus been built. It is unnecessary to organize a large number of production rules when using big-neurons to build an expert system. The facts and rules of an expert system have already been hidden in big-neurons. And also, it is unnecessary to do a great quantity of tree searching when using this method to do logic reasoning. Machine can do self-organizing and self-learning.
AB - With a new way of knowledge representation and acquirement, inference, and building an expert system based on big-neurons composed of different field expert knowledge presented in this paper, the fundamental theory and architecture of expert system based upon big-neuron theory has thus been built. It is unnecessary to organize a large number of production rules when using big-neurons to build an expert system. The facts and rules of an expert system have already been hidden in big-neurons. And also, it is unnecessary to do a great quantity of tree searching when using this method to do logic reasoning. Machine can do self-organizing and self-learning.
UR - http://www.scopus.com/inward/record.url?scp=33749555822&partnerID=8YFLogxK
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U2 - 10.1007/11816157_26
DO - 10.1007/11816157_26
M3 - Conference contribution
AN - SCOPUS:33749555822
SN - 3540372717
SN - 9783540372714
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 268
EP - 273
BT - International Conference on Intelligent Computing, ICIC 2006, Proceedings
T2 - International Conference on Intelligent Computing, ICIC 2006
Y2 - 16 August 2006 through 19 August 2006
ER -