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On-chip earthquake simulation model using potentials

Georgoudas, I.; Sirakoulis, G.; Scordilis, E.; Andreadis, I. - In: Natural Hazards 50 (2009) 3, pp. 519-537

model and its instrumentation. The CA model hardware implementation is based on Field Programmable Gate Array (FPGA) logic …

Persistent link: https://www.econbiz.de/10010996836

Estimation of Monthly Mean Reference Evapotranspiration in Turkey

Citakoglu, Hatice; Cobaner, Murat; Haktanir, Tefaruk; … - In: Water Resources Management 28 (2014) 1, pp. 99-113

fuzzy inference system (ANFIS) and artificial neural network (ANN) models. Various combinations of long-term average monthly … as inputs to the ANFIS and ANN models so as to calculate ET <Subscript> 0 </Subscript> given by the FAO-56 PM (Penman …-Monteith) equation. First, a comparison is made among the estimates provided by the ANFIS and ANN models and those by the empirical …

Persistent link: https://www.econbiz.de/10010997975

Alternative approaches to the prediction of electricity prices

Domanski, Pawel D.; Gintrowski, Mateusz - In: International Journal of Energy Sector Management 11 (2017) 1, pp. 3-27

Purpose This paper aims to present the results of the comparison between different approaches to the prediction of electricity prices. It is well-known that the properties of the data generation process may prefer some modeling methods over the others. The data having an origin in social or...

Persistent link: https://www.econbiz.de/10014773862

A neural networks approach for cost flow forecasting

Boussabaine, A. H.; Kaka, A. P. - In: Construction Management and Economics 16 (1998) 4, pp. 471-479

those mathematical and statistical methods. The method used in collecting data and modelling the cost flow is described …

Persistent link: https://www.econbiz.de/10005438592

Artificial Neural Network and the Financial Markets: A Survey

Chatterjee, Amitava; Ayadi, O.Felix; Boone, Bryan E. - In: Managerial Finance 26 (2000) 12, pp. 32-45

This study describes the structure and function of a new financial modeling technique, namely, the Artificial Neutral Network (ANN) in predicting financial markets’ behavior. With the advancement of the computer technology to date, ANN allows us to imitate human reasoning and thought processes...

Persistent link: https://www.econbiz.de/10014939540

Composite forecasting approach, application for next-day electricity price forecasting

Mirakyan, Atom; Meyer-Renschhausen, Martin; Koch, Andreas - In: Energy economics 66 (2017), pp. 228-237

Persistent link: https://www.econbiz.de/10011896468

Alternative approaches to the prediction of electricity prices

Domanski, Pawel D.; Gintrowski, Mateusz - In: International journal of energy sector management : IJESM 11 (2017) 1, pp. 3-27

Persistent link: https://www.econbiz.de/10011704812

Predictive asset availability optimization for underground trucks and loaders in the mining industry

Patil, Sunil D.; Mitra, Abhishek; Katarikonda, … - In: Opsearch : journal of the Operational Research Society … 58 (2021) 3, pp. 751-772

Persistent link: https://www.econbiz.de/10012619646

Machine learning improves accounting : discussion, implementation and research opportunities

Bertomeu, Jeremy - In: Review of accounting studies 25 (2020) 3, pp. 1135-1155

Persistent link: https://www.econbiz.de/10012306848

Contemporaneous causality among office property prices of major Chinese cities with vector error correction modeling and directed acyclic graphs

Xu, Xiaojie; Zhang, Yun - In: Journal of modelling in management 19 (2024) 4, pp. 1079-1093

Persistent link: https://www.econbiz.de/10014557646