Results 41 to 50 of about 45,826 (205)

A tree based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the annual rice production in Bangladesh

open access: yesPLoS ONE, 2023
In this study, we attempt to anticipate annual rice production in Bangladesh (1961–2020) using both the Autoregressive Integrated Moving Average (ARIMA) and the eXtreme Gradient Boosting (XGBoost) methods and compare their respective performances. On the
M. Noorunnahar, A. Chowdhury, F. A. Mila
semanticscholar   +1 more source

Assessment of the possibility of using data mining methods to predict sorption isotherms of selected organic compounds on activated carbon

open access: yesE3S Web of Conferences, 2017
The paper analyses the use of four data mining methods (Support Vector Machines. Cascade Neural Networks. Random Forests and Boosted Trees) to predict sorption on activated carbons.
Dąbek Lidia   +2 more
doaj   +1 more source

Load Forecasting Techniques for Power System: Research Challenges and Survey

open access: yesIEEE Access, 2022
The main and pivot part of electric companies is the load forecasting. Decision-makers and think tank of power sectors should forecast the future need of electricity with large accuracy and small error to give uninterrupted and free of load shedding ...
Naqash Ahmad   +3 more
semanticscholar   +1 more source

Comparative study of neural network variants for potato (Solanum tuberosum) price modeling

open access: yesThe Indian Journal of Agricultural Sciences
The intricate nature of agricultural price data possesses a formidable challenge in the modeling process, necessitating the careful selection and fine-tuning of methodologies.
S VISHNU SHANKAR   +3 more
doaj   +1 more source

Penerapan Adaptive Neuro-Fuzzy Inference System untuk Prediksi Nilai Tukar Rupiah

open access: yesJurnal Masyarakat Informatika, 2019
Salah satu indikator penting dalam perekonomian suatu negara adalah nilai tukar dari mata uang, dimana majunya suatu negara dapat ditentukan oleh kekuatan nilai mata uang negara tersebut.
Sanggam Andreas Harahap   +1 more
doaj   +1 more source

A Comparison of Models for Estimating Solar Radiation from Sunshine Duration in Croatia

open access: yesInternational Journal of Photoenergy, 2020
The performance of seventeen sunshine-duration-based models has been assessed using data from seven meteorological stations in Croatia. Conventional statistical indicators are used as numerical indicators of the model performance: mean absolute ...
Tihomir Betti   +3 more
doaj   +1 more source

Developing and Preliminary Testing of a Machine Learning-Based Platform for Sales Forecasting Using a Gradient Boosting Approach

open access: yesApplied Sciences, 2022
Organizations engaged in business, regardless of the industry in which they operate, must be able to extract knowledge from the data available to them. Often the volume of customer and supplier data is so large, the use of advanced data mining algorithms
Antonio Panarese   +3 more
doaj   +1 more source

A novel long-term water absorption and thickness swelling deep learning forecast method for corn husk fiber-polypropylene composite

open access: yesCase Studies in Construction Materials, 2022
Investigating long-term water absorption (WA) and thickness swelling (TS) behaviors of wood plastic composites demand long working hours and high laboratory costs.
Ehsan Yousefi   +5 more
doaj   +1 more source

Penerapan Fuzzy Mamdani Dengan Particle Swarm Optimization (PSO) dan MAPE (Mean Absolute Percentage Error) Pada Penilaian Kinerja Pegawai

open access: yesJURNAL MAHAJANA INFORMASI, 2020
Pegawai tidak hanya harus berpenampilan menarik tapi juga harus mempunyai keahlian dalam menyeselesaikan pekerjaan yang di berikan. Didalam Perguruan Tinggi memiliki pegawai yang cakap, pintar dan berwawasan luas. Perguruan tinggi yang berkompeten adalah perguruan tinggi yang memiliki pelayanan pendidikan yang berkompeten bukan hanya dalam pengajaran ...
openaire   +1 more source

Relational Equivalence Visualizations for the three investigated patterns. [PDF]

open access: yes, 2023
MAPE = Mean absolute percentage error. CP = Number of cost pools. DENS = Degree of resource sharing.
Matthias Meyer (187227)   +2 more
core   +1 more source

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