Title :
Fusion of knowledge-based systems and neural networks and applications
Author :
Khosla, R. ; Dillon, T.
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia
Abstract :
Neural Networks and Symbolic Knowledge-Based Systems each have their strengths and weaknesses. Intelligent Systems that fuse these two paradigms overcome a significant number of the weaknesses of each individual paradigm. There are many different approaches in the literature (including research from the author´s own group) to fusing these paradigms. A critical evaluation of these approaches is given within the paper
Keywords :
knowledge based systems; neural net architecture; neural nets; intelligent Systems; knowledge-based systems; neural networks; Application software; Artificial intelligence; Artificial neural networks; Computer networks; Humans; Intelligent networks; Intelligent systems; Knowledge based systems; Neural networks; Problem-solving;
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3755-7
DOI :
10.1109/KES.1997.616850
