基于SVM与贝叶斯网络的乡村污水态势预测模型OA

Aiming at the challenges of data sparsity,multi-source parameter coupling,and dynamic uncertainties in rural sewage management,this paper proposes a hybrid predictive model synergizing Support Vector Machine(SVM)and Bayesian Network.The model employs SVM to achieve high-precision classification of sewage contamination categories,and integrates Bayesian Network for probabilistic inference on multi-factor interactions,thereby constructing a dynamic situation prediction framework of sewage,which provides method support for rural water environment risk early warning and precise treatment.