Fuzzy Neural PETRI NETS
In order to know the various aspects of neuro fuzzy logic, this is essential to talk about the basic details pertaining to such concepts.
The new interest in the improvement of artificial neural networks or ANNs is widely because of their brain-like organizational structure and learning capabilities. These networks have multiple layers of neurons such process information or a neuron integrates the incoming weighted inputs through addition and then fire if the result exceeds a threshold value in parallel and show results asynchronously in real time via feed-backward and feed-forward interconnections. Only just, a few attempts have been made to enhance Petri net models of the biological neurons that comprise a temporal summation of signals or several specific attributes of biological neurons.