The Water Potability Prediction Based on Active Support Vector Machine and Artificial Neural Network
Author:
Affiliation:
1. College of Artificial Intelligence and Data Science, Hebei university of technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9726885/9726937/09726941.pdf?arnumber=9726941
Reference6 articles.
1. Introduction of SVM Related Theory and Its Application Research
2. An recurrent neural network application to forecasting the quality of water diversion in the water source of Lake Taihu
3. Impact of Training and Testing Data Splits on Accuracy of Time Series Forecasting in Machine Learning
4. Research on Combination Kernel Function of Support Vector Machine
5. Artificial neural networks (ANN) as simulators and emulators-an analytical overview
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