Search Results - subject:"root mean square error"

Machine acceleration time series prediction for dimensional accuracy of 3D printed parts

Deb, Jayanta Bhusan; Chowdhury, Shilpa; Chowdhury, Soumik; … - In: Data science and management : DSM 7 (2024) 3, pp. 218-227

mean square error (RMSE) of 0.007144, reflecting the model's precision. Further refinement and testing of the LSTM model … fused deposition modeling (FDM) printer using data from the adaptive cubic infill pattern. Rigorous testing yielded a root …

Persistent link: https://www.econbiz.de/10015078180

Stock price prediction using RNN architecture : LSTM and GRU Model of Neural Network

Verma, Kajol - In: Mudra : journal of finance and accounting 11 (2024) 2, pp. 19-36

Persistent link: https://www.econbiz.de/10015325950

Optimisation-enabled transfer learning framework for stock market prediction

Patil, Pankaj Rambhau; Parasar, Deepa; Charhate, Shrikant - In: Journal of information & knowledge management : JIKM 23 (2024) 2, pp. 1-31

Persistent link: https://www.econbiz.de/10014534560

Optimised hybrid CNN-LSTM model for stock price prediction

Patnaik, Deepti; Rao, N. V. Jagannadha; Padhiari, … - In: International journal of management and decision making … 23 (2024) 4, pp. 438-460

Persistent link: https://www.econbiz.de/10015067129

Reliability characteristics of COVID-19 death rate using generalized progressive hybrid censored data

Irfan, Mohd; Sharma, Anup Kumar - In: International journal of quality & reliability management 41 (2024) 3, pp. 850-878

Persistent link: https://www.econbiz.de/10014483071

Direct normal irradiance predictions using broadband models for Indian stations

Rohilla, Laxmi Narain; Singh, Dinesh Kumar - In: Energy Reports 6 (2020) 2, pp. 572-576

with measured values in terms of percentage root mean square error (RMSE) and percentage mean bias error (MBE). It is …

Persistent link: https://www.econbiz.de/10012652296

Direct normal irradiance predictions using broadband models for Indian stations

Rohilla, Laxmi Narain; Singh, Dinesh Kumar - In: Energy reports 6 (2020) 2, pp. 572-576

with measured values in terms of percentage root mean square error (RMSE) and percentage mean bias error (MBE). It is …

Persistent link: https://www.econbiz.de/10012181212

Evaluation of forecasting methods from selected stock market returns

Mallikarjuna, M.; Rao, R. Prabhakara - In: Financial Innovation 5 (2019) 1, pp. 1-16

Forecasting stock market returns is one of the most effective tools for risk management and portfolio diversification. There are several forecasting techniques in the literature for obtaining accurate forecasts for investment decision making. Numerous empirical studies have employed such methods...

Persistent link: https://www.econbiz.de/10012602835

Evaluation of forecasting methods from selected stock market returns

Mallikarjuna, M.; Rao, R. Prabhakara - In: Financial innovation : FIN 5 (2019) 40, pp. 1-16

Persistent link: https://www.econbiz.de/10012268500

Fourier transformation on model fitting for Pakistan inflation rate

Iqbal, Anam; Ahmad, Basheer; Iqbal, Kanwal; Ali, Asad - In: Business and Economic Research : BER 8 (2018) 1, pp. 84-94

Persistent link: https://www.econbiz.de/10011859774