DocumentCode
2350957
Title
Optimization of the combinatorial neural model
Author
Beckenkamp, Fábio Ghignatti ; Feldens, Miguel Artur ; Pree, Wolfgang
Author_Institution
Software Eng. Group, Constance Univ., Germany
fYear
1998
fDate
9-11 Dec 1998
Firstpage
49
Lastpage
54
Abstract
We present significant optimization of the so-called combinatorial neural model (CNM). CNM is a hybrid (neural/symbolic) model that has been used in areas such as expert system development and data mining. The paper first explains the CNM architecture and then presents CNM optimization together with empiric results. The most important optimization aims at taming combinatorial explosion, which is the main problem inherent to this model
Keywords
feedforward neural nets; learning (artificial intelligence); neural net architecture; optimisation; architecture; combinatorial neural model; data mining; expert system; feedforward neural networks; incremental learning; optimization; symbolic model; Capacity planning; Computer science; Data mining; Expert systems; Explosions; Fuzzy sets; Java; Neural networks; Neurons; Software engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
Conference_Location
Belo Horizonte
Print_ISBN
0-8186-8629-4
Type
conf
DOI
10.1109/SBRN.1998.730993
Filename
730993
Link To Document