机译:使用人工神经网络对市政固体废物生成率预测的区域差异的新见解
State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University Shanghai China;
State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University Shanghai China Shanghai Institute of Pollution Control and Ecological Security Shanghai China;
State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University Shanghai China;
State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University Shanghai China;
Regional difference; MSW prediction; Artificial neural network; Predictor-exclusive method; Cross prediction method; Mainland China;
机译:人工神经网络模型预测城市生活垃圾产生量
机译:通过人工神经网络对城市固体废物的产生进行最佳规划和管理预测-案例研究:哈里亚纳邦(印度)的法里达巴德市
机译:结构断裂分析增强了人工神经网络方法的城市固体废物生成预测
机译:人工神经网络与主成分分析相结合的城市生活垃圾产生量预测
机译:利用人工神经网络建模,改善北部德克萨斯州德克萨斯州地区的区域水文预测
机译:城市生活垃圾产生量的多步混沌模型
机译:流化床反应器中的城市固体废物气化的人工神经网络的建模方法