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生物通
4月
机器学习模型预测水处理中微塑料混凝去除效率:基于ANN、LSSVM、PSO ...
本研究针对水处理中微塑料(MPs)去除效率预测难题,创新性地采用人工神经网络(ANN)、最小二乘支持向量机(LSSVM)、粒子群优化-自适应神经模糊系统(PSO-ANFIS)和径向基函数(RBF)四种机器学习模型,通过405组实验数据建模分析。结果表明RBF模型预测精度最高(R2=0.96 ...
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