predict – Page 2 – SyntaxBug

[Wind speed prediction] Optimizing the least squares support vector machine CEEMDAN-SMA-LSSVM power wind speed prediction based on CEEMD combined with the slime algorithm with matlab code

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For code acquisition, paper reproduction and scientific research simulation cooperation, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization […]

Xigua Shushu’s prediction of TSVM on the UCI data set and comparison with SVM

My WeChat public account: Mr. Shuangmu who keeps working hard Although I don’t update it very much, I will share something when I have the opportunity to discuss the philosophy of the world and life. This is a big assignment for the basic machine learning course in the first semester of my senior year, which […]

LSTM algorithm based on Pytorch framework (2) – multi-dimensional single-step prediction

1. Project description **Select two features, Close and Low, use the two features of the window time_steps window, and then predict the data of the Close feature data for the next day. When batch_first=True, then LSTM inputs=(batch_size, time_steps, input_size) batch_size = len(data)-time_steps time_steps = sliding window, the median value of this project is lookback input_size […]

Regression prediction | Optimizing variational mode decomposition based on Sparrow algorithm combined with long short-term memory network SSA-VMD-LSTM to achieve photovoltaic power generation power prediction with Matlab code

[Photovoltaic prediction] Optimizing variational mode decomposition based on Sparrow algorithm combined with long short-term memory network SSA-VMD-LSTM to realize photovoltaic power generation power prediction with Matlab code

Based on the snow melt optimization algorithm SAO published in June 2023, the LSSVM is optimized for single-input single-output time series fitting prediction modeling.

Multiple regression prediction/optimizing the time convolutional neural network DBO-TCN based on the dung beetle algorithm to achieve power load prediction with matlab code

CNN-BIGRU classification prediction, based on convolutional neural network-bidirectional gated recurrent unit CNN-BIGRU classification prediction

[Wind Power Forecast] Based on convolutional neural network combined with long short memory network CNN-LSTM to realize wind power power multi-input single-output regression prediction with matlab code

pytorch+LSTM implements single-parameter prediction and multi-parameter prediction (code annotation version)

Preparation before development: Environmental Management: Anaconda python: 3.8 Graphics card: NVIDIA3060 pytorch: Go to the official website to select the conda version, using CUDA11.8 Compiler: PyCharm Brief description: This time we use the flights data set in the seaborn library for experiments. We predict the number of people flying in the future month by obtaining […]