A comparative study of artificial intelligent techniques in the detection of coronary artery disease

R. Jain, J. Mazumdar, W. Moran
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Abstract

This paper presents a comparative study of expert system, fuzzy logic and neural networks in the detection of coronary artery disease. It is evident from this study that expert systems can be useful in training and providing expert assistance to the user. Fuzzy logic simplifies the knowledge base in the system. Neural networks are faster and have generalisation capability.<>
人工智能技术在冠状动脉疾病检测中的比较研究
本文对专家系统、模糊逻辑和神经网络在冠状动脉疾病检测中的应用进行了比较研究。从这项研究中可以明显看出,专家系统在培训和向用户提供专家帮助方面是有用的。模糊逻辑简化了系统的知识库。神经网络速度更快,具有泛化能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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