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Improved BP algorithm and its application to intelligent diagnosis of coronary heart disease

机译:改进的BP算法及其在冠心病智能诊断中的应用

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BP algorithm is improved and developed by using the iteration of Levenberg-Marquardt algorithm which improves the network convergence rate. After the analysis of the coronary heart disease cases provided by Cleveland Clinic Foundation, the 14 parameters which reflect the characteristics of coronary heart disease are concluded. On the basis of the improved BP algorithm, the simulation model of intelligence diagnosis is built. With the application of this method, the diagnosis rate can reach 99.3%.
机译:通过使用Levenberg-Marquardt算法的迭代来改进和开发BP算法,这提高了网络收敛速率。分析克利夫兰诊所基金会提供的冠心病病例后,结论了反映冠心病特征的14个参数。在改进的BP算法的基础上,建立了智能诊断的仿真模型。随着这种方法的应用,诊断率可以达到99.3%。

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