https://github.com/ZhouM1118/intelligentler-bp-ga

基于BP算法和遗传算法建立武汉市空气质量指数的预测模型，以武汉市8个监测站的1年的空气质量数据为训练数据进行神经网络的建模，近一个月的数据作为测试数据进行模型的准确性测试，平均准确率在75%左右。
https://github.com/ZhouM1118/intelligentler-bp-ga

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基于BP算法和遗传算法建立武汉市空气质量指数的预测模型，以武汉市8个监测站的1年的空气质量数据为训练数据进行神经网络的建模，近一个月的数据作为测试数据进行模型的准确性测试，平均准确率在75%左右。

• Host: GitHub
• URL: https://github.com/ZhouM1118/intelligentler-bp-ga
• Owner: ZhouM1118
• Created: 2017-05-10T07:36:12.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2017-05-10T08:30:03.000Z (about 7 years ago)
• Last Synced: 2024-01-18T16:14:31.479Z (5 months ago)
• Language: Java
• Size: 40 KB
• Stars: 24
• Watchers: 2
• Forks: 10
• Open Issues: 4
• Metadata Files:

Lists

• awesome-ml-summary - intelligentler-bp-ga - year air quality data from eight monitoring stations in wuhan were used as training data for neural network modeling. The data in the past month were used as test data to test the accuracy of the model, with an average accuracy of about 75%.| (1 Predict / 1.1 LSTM)