Comparative analysis of machine learning techniques in optimal site selection

Comparative analysis of machine learning techniques in optimal site selection

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

書目詳細資料
Main Authors:	Aurnab, Aukik, Choudhury, Shaktiman, Ruhan, Shoubhick Roy, Rifaiya Abrar, Shikh Muhammad, Hossain Rabbi, S.M. Riyadh
其他作者:	Khan, Rubayat Ahmed
格式:	Thesis
語言:	English
出版:	Brac University 2023
主題:	Optimal Site Selection (OSS) Comparative analysis Boosting and stacking SVR Random forest XGBoost Ridge regression Lasso regression Elasticnet Convolutional Neural Network (CNN) Ensemble learning VGG16 VGG19 ResNet DenseNet InceptionV3 Root Mean Squared Error (RMSE) Mean Squared Error (MSE) Mean Absolute Error (MAE) Median Absolute Error (MedAE) Max error (ME) Median Absolute Deviation(MAD) Machine learning. Artificial intelligence.
在線閱讀:	http://hdl.handle.net/10361/19150

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