Hybrid Computational Intelligence Models With Symbolic Rule Extraction For Pattern Classification

Tesis ini adalah berkenaan dengan pembangunan model kecerdikan berkomputer hibrid bagi menangani masalah pengelasan corak. This thesis is concerned with the development of hybrid Computational Intelligence (CI) models for tackling pattern classification problems

Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis.

Abstract. In this paper, the Fuzzy Min-Max (FMM) neural network along with two modified FMM models are used for tackling medical diagnostic problems. The original FMM network establishes hyperboxes with fuzzy sets in its structure for classifying input patterns into different output categories