Skip to content

Latest commit

 

History

History
32 lines (16 loc) · 802 Bytes

README.md

File metadata and controls

32 lines (16 loc) · 802 Bytes

neural-fuzzy

A neural-fuzzy system to balance inverted pendulum + GUI training interface.

Algorithm is based on:

  1. Yamakawa, T, “A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control.”, IEEE Trans. Neural Networks 4(3), pp. 496-522, 1993.
  2. Nomura, H., Hayashi, I., and Wakami, N.: A self-tuning method of fuzzy control by descent method, in: Proc. of the 4th IFSA Congress, Brussels, 1991, pp. 155–158.

Network Structure (Nomura at al., 1991):

System Structure

Training Interface:

Training Interface

Libraries used: