A Neuro-Fuzzy Technique for Implementing the Half-Adder Circuit Using the CANFIS Model
This addresses a specific binary arithmetic problem for circuit design, but it is incremental as it builds on existing neuro-fuzzy methods.
The paper tackled implementing a half-adder circuit using the CoActive Neuro-Fuzzy Inference System (CANFIS) model, achieving experimental results as demonstrated via the NeuroSolutions 5 simulator.
A Neural Network, in general, is not considered to be a good solver of mathematical and binary arithmetic problems. However, networks have been developed for such problems as the XOR circuit. This paper presents a technique for the implementation of the Half-adder circuit using the CoActive Neuro-Fuzzy Inference System (CANFIS) Model and attempts to solve the problem using the NeuroSolutions 5 Simulator. The paper gives the experimental results along with the interpretations and possible applications of the technique.