用CANFIS模型实现半加器电路的神经模糊技术
A Neuro-Fuzzy Technique for Implementing the Half-Adder Circuit Using the CANFIS Model
摘要：
一般来说，神经网络不被认为是数学和二进制算术问题的良好求解器。然而，网络已经被开发用于诸如XOR电路之类的问题。本文提出了一种技术的半加器电路的实现使用协同神经模糊推理系统（CANFIS）模型，并试图解决这个问题，使用NeuroSolutions 5模拟器。本文给出了实验结果以及该技术的解释和可能的应用。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
