A Neuro-Fuzzy Technique for Implementing the Half-Adder Circuit Using the CANFIS Model
Neural and Evolutionary Computing
2012-09-24 v1
Abstract
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.
Cite
@article{arxiv.1209.4895,
title = {A Neuro-Fuzzy Technique for Implementing the Half-Adder Circuit Using the CANFIS Model},
author = {Sachin Lakra and T. V. Prasad and Deepak Sharma and Shree Harsh Atrey and Anubhav Sharma},
journal= {arXiv preprint arXiv:1209.4895},
year = {2012}
}
Comments
7 pages, 9 figures, 7 tables