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Considering the randomness and volatility of wind, a method based on B-spline neural network optimized by particle swarm
optimization is proposed to predict the short-term wind speed
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一个粒子群优化的支持向量机,运行过的,很好用,供初学者参考-A particle swarm optimization support vector machine (SVM), running, useful, reference for beginners
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离散粒子群算法。粒子群算法原来只能处理连续变量,算法进行了改进,可以处理离散变量-Discrete particle swarm optimization algorithm, particle swarm optimization algorithm can only deal with continuous variables, the algorithm is improved, can handle discrete variables
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建立LibSVM预测模型,基于网格算法、粒子群算法、遗传算法优化了模型参数,并由最终模型预测了给定切削参数下零件的粗糙度等级。-Establish LibSVM prediction model, grid-based algorithm, particle swarm optimization, genetic algorithm to optimize the parameters of the model, the final model prediction given by the c
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