# 問題一:隨機森林回歸
from?sklearn.ensemble?import?RandomForestRegressor
model_rf = RandomForestRegressor()
model_rf.fit(X_train, y_train)
# 問題二:LSTM時間序列預測
from?tensorflow.keras.models?import?Sequential
model_lstm = Sequential()
model_lstm.add(LSTM(50, input_shape=(window_size, n_features)))
model_lstm.add(Dense(60?*?2)) ?# 預測60步,每步兩個濃度
# 問題三:時間點預測
def?predict_event_time(predictions, k1, k2):
? ??for?i, (so2, h2s)?in?enumerate(predictions):
? ? ? ??if?so2 > k1?or?h2s > k2:
? ? ? ? ? ??return?i +?10??# t+10為起始點
? ??return?None
2025年第十八屆“認證杯”數學中國數學建模網絡挑戰賽B題完整word論文+代碼+結果https://download.csdn.net/download/qq_52590045/905927492025年第十八屆“認證杯”數學中國數學建模網絡挑戰賽C題完整word論文+代碼+結果
https://download.csdn.net/download/qq_52590045/90592761
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