Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry

© Himanshu Singh, Yunis Ahmad Lone 2020

H. Singh, Y. A. LoneDeep Neuro-Fuzzy Systems with Pythonhttps://doi.org/10.1007/978-1-4842-5361-8_4

4. Introduction to Machine Learning

Himanshu Singh¹  and Yunis Ahmad Lone²

(1)

Allahabad, Uttar Pradesh, India

(2)

Hyderabad, Andhra Pradesh, India

 

The previous chapter discussed different Fuzzy Inference Systems, which are used to make various practical control systems. But these systems are static, which means the fuzzification process, defuzzification process, defining memberships, etc. is all done manually. With intelligent systems, it is always better to learn most of the things from the data, rather than hard-coding it directly. This area of Fuzzy Inference Systems is where most of the parameters are learned. ...