DocumentCode :
1946203
Title :
To Enhance Computational Intelligence by Human-Like Learning Method
Author :
Chowdhury, Minhaz Rafi
Author_Institution :
American Int. Univ.
Volume :
2
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
1017
Lastpage :
1021
Abstract :
The main purpose of these papers is to develop a generalized learning algorithm. For these reasons human learning method has been chosen. The study explores human learning strategy, as well as the human memory system. The neural network has been developed from human learning techniques. Developed neural network was tested on some real life scenarios. The whole proposed system has two unique parts: the network part and the driver part. The driver part drives the whole network while the neural part is the main network based on human learning. The sample scenario shows that the same network acts differently on a change in the driver program
Keywords :
cognition; generalisation (artificial intelligence); neural nets; computational intelligence; generalized learning algorithm; human memory system; human-like learning method; neural network; Automation; Computational intelligence; Computational modeling; Computer science; Humans; Intelligent agent; Learning systems; Life testing; Neural networks; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631602
Filename :
1631602
Link To Document :
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