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SVM for Wind Speed Prediction by Puja Dwi Lestari is a document available to read on EtoBox.

What is SVM for Wind Speed Prediction about?

The document summarizes a study that compares the performance of support vector machines (SVM) and multilayer perceptron (MLP) neural networks for wind speed prediction. Mean daily wind speed data from Saudi Arabia was used to build and test SVM and MLP models. The results showed that SVM performed comparably to MLP based on the root mean square errors between actual and predicted data, indicating that SVM is a viable approach for wind speed prediction.

Author

Puja Dwi Lestari

Language

EN