Structured Logic Processors Based Self Learning Fuzzy Neural Network

-This paper presents a new and simple fuzzy neural network based on structured fuzzy logic processors. The modifications of the referential fuzzy logic processors provide the equality index. The major advantage of the proposed network is that the learning process is faster and it has the capability of self -determining the relative cardinality. The fast learning is due to incorporating the receptive field injector, which injects the self -learning excitation level. The proposed network has the capability of controlling a nonlinear and uncertain plant even if it is subjected to sever unmeasured disturbances .The simulation was done using Borland C++, version 4.5,and the plant has been simulated as a template.