Online Pattern Classification With Multiple Neural Network Systems: An Experimental Study.

Autor: Chee Peng Lim, Harrison, Robert F.
Předmět:
Zdroj: IEEE Transactions on Systems, Man & Cybernetics: Part C - Applications & Reviews; May2003, Vol. 33 Issue 2, p235, 13p, 4 Diagrams, 7 Charts, 4 Graphs
Abstrakt: Provides an empirical study of the development and application of a committee of neural networks on online pattern classification tasks. Multiple classifier framework designed by adopting an Adaptive Resonance Theory-based autonomously learning neural network as the building block; Potential of the multiple neural network systems in offering an alternative to handle online pattern classification tasks.
Databáze: Complementary Index