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Optimised hybrid CNN bi-LSTM model for stock price forecasting

Patnaik, Deepti; Rao, N. V. Jagannadha; Padhiari, … - In: International journal of intelligent enterprise 11 (2024) 3, pp. 248-273

Persistent link: https://www.econbiz.de/10015065340

Is it possible to accurately forecast the evolution of Brent crude oil prices? : an answer based on parametric and nonparametric forecasting methods

Álvarez-Díaz, Marcos - In: Empirical economics : a journal of the Institute for … 59 (2020) 3, pp. 1285-1305

Persistent link: https://www.econbiz.de/10012285558

Short-term load forecasting of urban gas using a hybrid model based on improved fruit fly optimization algorithm and support vector machine

Lu, Hongfang; Azimi, Mohammadamin; Iseley, Tom - In: Energy reports 5 (2019), pp. 666-677

The accurate forecasting of short-term load for urban gas is the premise of gas supply sales, pipe network planning … (FFOA), simulated annealing algorithm (SA), cross factor (CF) and support vector machine (SVM) to forecast the short … the results with the other four forecasting methods such as back-propagation neural network (BPNN) and autoregressive …

Persistent link: https://www.econbiz.de/10012020062

Employing a generalized reduced gradient algorithm method to form combinations of steel price forecasts generated separately by ARIMA-TF and ANN models

Terregrossa, Salvatore Joseph; Şener, Uğur - In: Cogent economics & finance 11 (2023) 1, pp. 1-25

component model forecast weights, which is a novel approach introduced by this study. The data set employed includes a time … forecasts of all models (component and combining), mean absolute percentage forecast errors (MAPE) are calculated and model … their hedging decisions on a combination of forecasts generated by ARIMA-TF and ANN models, with the forecast weights …

Persistent link: https://www.econbiz.de/10014500535

Spatial model for determining the optimum placement of logistics centers in a predefined economic area

Ţarţavulea, Ramona Iulia; Belu, Mihaela Gabriela; … - In: Amfiteatru economic : an economic and business research … 18 (2016) 43, pp. 707-725

The process of globalization has stimulated the demand for logistics services at a level of speed and increased efficiency, which involves using of techniques, tools, technologies and modern models in supply chain management. The aim of this research paper is to present a model that can be used...

Persistent link: https://www.econbiz.de/10011840569

Russia's comparative advantages in foreign trade : forecasting potential dynamics and identifying stimulation measures

Savin, Ivan - 2013

Persistent link: https://www.econbiz.de/10009684693

Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization

Candelieri, Antonio; Giordani, Ilaria; Archetti, Francesco - In: Computers & operations research : and their … 106 (2019), pp. 202-209

Persistent link: https://www.econbiz.de/10012014411

Extreme learning with chemical reaction optimization for stock volatility prediction

Nayak, Sarat; Mishra, Bijan Bihari - In: Financial innovation : FIN 6 (2020) 16, pp. 1-23

proposed model. Hence, this model can be used as a promising tool for financial forecasting. …

Persistent link: https://www.econbiz.de/10012268745

Dynamic stochastic lot sizing with forecast evolution in rolling-horizon planning

Forel, Alexandre; Grunow, Martin - In: Production and operations management : the flagship … 32 (2023) 2, pp. 449-468

Persistent link: https://www.econbiz.de/10014266046

A novel hybrid approach to forecast crude oil futures using intraday data

Manickavasagam, Jeevananthan; Visalakshmi, S.; … - In: Technological forecasting & social change : an … 158 (2020), pp. 1-11

Persistent link: https://www.econbiz.de/10012516847