Title :
Optimization of the combinatorial neural model
Author :
Beckenkamp, Fábio Ghignatti ; Feldens, Miguel Artur ; Pree, Wolfgang
Author_Institution :
Software Eng. Group, Constance Univ., Germany
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;
Conference_Titel :
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
Conference_Location :
Belo Horizonte
Print_ISBN :
0-8186-8629-4
DOI :
10.1109/SBRN.1998.730993
