Fuzzy rule generation apparatus for neuro circuit network system and method thereof
US5822495A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Mar 19, 1996 |
| Grant date | Oct 13, 1998 |
| Priority date | — |
| Expiry date | Mar 19, 2016 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/90
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An improved fuzzy rule generation apparatus for a neuro circuit network system and a method thereof capable of computing a fuzzy output and minimizing the number of fuzzy rules by automatically adjusting the number of fuzzy rules in accordance with a given problem and using general fuzzy function having a triangle shape or a trapezoid shape using a multi-parameter of a hidden layer and an output layer when computing a fuzzy output, which includes an input layer for receiving a plurality of data; a hidden layer for judging whether a plurality of data inputted thereto through the input layer is within an effective radius of a fuzzy variable and for automatically generating a fuzzy rule to an "n" number using the Gausian function in accordance with a result of the judgement; a parameter block for storing a parameter learned by an error back propagation learning so as to compute a fuzzy rule generated by the hidden layer; and an output layer for computing the last defuzzy operation using a fuzzy rule value generated by the hidden layer and a fuzzy variable value of a parameter block necessary for a defuzzy operation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.