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遗传算法基本理论 经典应用实例 演化程序——遗传算法和数据编码的结合-The basic theory of classical genetic algorithm application examples Evolution process, genetic algorithm and data coding
Date : 2025-09-16 Size : 7.21mb User : chenchun

An effectual genetic coding is designed by constructing fullclassification rule set. This coding results in full use of all kinds of excellent traits of genetic algorithm in data classification. The genetic algorithm is paralleled in process. So this leads to the improvement of classification and its ability to deal with great data. Some defects of current classifier algorithm are tided over by this algorithm. The analysis of experimental
Date : 2025-09-16 Size : 136kb User : asad

1.采用遗传算法对男女生样本数据中的身高,体重,喜欢数学,喜欢文学,喜欢运动,喜欢模式识别共6个特征进行特征选择,并基于所得到的最佳特征采用SVM设计男女生分类器,并计算模型预测性能(包含SE,SP,ACC和AUC )。要求自行编写代码实现遗传算法。(1. using genetic algorithm based on the sample data of male and female students in height, weight, love mathematics, love literature, love sports, love pattern recognition feature selection for a total of 6 characteristics, and based on the best features obtained by SVM design and classifier, and the computing model prediction performance (including SE, SP, ACC and AUC). Self coding is required to implement genetic algorithms.)
Date : 2025-09-16 Size : 14kb User : liangyanbin
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