About this document
Hybrid Systems in Soft Computing by Tusheet Pal Singh is a document available to read on EtoBox.
A hybrid system combines multiple soft computing techniques like fuzzy logic, neural networks, and genetic algorithms to handle complex problems involving uncertainty. There are several types of hybrid systems including neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. These systems have advantages like handling imprecise data, self-learning capabilities, and mimicking human decision making. Hybrid systems have applications in areas like medical systems, forecasting, traffic control, and more.
- Author
- Tusheet Pal Singh
- Language
- EN