A Neuro-Fuzzy Technique for Implementing the Half-Adder Circuit Using   the CANFIS Model
  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. 
Sachin Lakra, T. V. Prasad, Deepak Sharma, Shree Harsh Atrey and   Anubhav Sharma
cs.NE