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Contribution to the methodology for determining the competitiveness of a domestic product (on example of geotextile)

Novak, Ivan - In: Embracing diversity in organisations : 7th …, (pp. 453-469). 2019

The idea of this paper is to align the business decision-making process with detected product competitiveness characteristics of the domestic company on the domestic market. For this paper was designed "proposal of the operational steps of a simple market and product research methodology", for...

Persistent link: https://www.econbiz.de/10012118799

The critical analysis of profit for its allocation decision-making

Pakšiová, Renáta - In: Scientific Annals of Economics and Business 64 (2017), pp. 41-56

Persistent link: https://www.econbiz.de/10011866197

The impact of location on housing prices : applying the Artificial Neural Network Model as an analytical tool.

Fernández-Durán, Laura; Llorca, Alicia; Ruiz, Nancy; … - 2011

. We used an artificial neutral network as a price forecasting tool, since this system shows a considerable improvement in …

Persistent link: https://www.econbiz.de/10011529485

Heat load estimation using Artificial Neural Network

Apisit Panyafong; Nattawut Neamsorn; Chatchawan Chaichana - In: Energy reports 6 (2020) 2, pp. 742-747

Electricity demand from air conditioners are increasing every year due to increasing ambient air temperature. Several air-conditioned rooms in Thailand currently use low-efficient fixed-speed air conditioners. Prediction of heat load entering air-conditioned rooms may lead to better control of...

Persistent link: https://www.econbiz.de/10012181768

Stock market prediction using multivariate neural network backpropagation

Kristian, Tendra; Kristanti, Farida Titik - In: Understanding digital industry : proceedings of the …, (pp. 223-226). 2020

Persistent link: https://www.econbiz.de/10012226402

IDR/USD forecasting : classical time series and artificial neural network method

Alam, M. F. Q.; Rikumahu, B. - In: Understanding digital industry : proceedings of the …, (pp. 227-231). 2020

Persistent link: https://www.econbiz.de/10012226403

Switching of wavelet transforms by neural network for image compression

Chakib, Houda; Minaoui, Brahim; Salhi, Abderrahim; … - In: Journal of electronic commerce in organizations : the … 16 (2018) 1, pp. 43-56

Persistent link: https://www.econbiz.de/10011809542

Two-dimensional face surface analysis using facial feature points detection approaches

Ahdid, Rachid; Azougaghe, Es-said; Safi, Said; Manaut, … - In: Journal of electronic commerce in organizations : the … 16 (2018) 1, pp. 57-71

Persistent link: https://www.econbiz.de/10011809544

Assessing artificial neural networks (ANNS) adequacy against econometric models for decision making approaches in banking industry

Trigkas, Sotirios J.; Liapis, Konstantinos J. - In: Business performance and financial institutions in …, (pp. 105-116). 2020

The purpose of this paper is to test the effect of non-parametric methodology of ANNs on enhancing decision-making procedures compared to classic multivariate Regression models. We implement the two methods on decision-making for loan allowances and on a valuation of collaterals using data from...

Persistent link: https://www.econbiz.de/10012322042

Workload forecasting of a logistic node using Bayesian neural networks

Nakilcioğlu, Emin Çağatay; Rizvanolli, Anisa; … - In: Changing tides : the new role of resilience and …, (pp. 237-264). 2022

Purpose: Traffic volume in empty container depots has been highly volatile due to external factors. Forecasting the … improving the work efficiency. This paper studies the relevant literature and designs a forecasting model addressing the … aforementioned issues. Methodology: The paper develops a forecasting model to predict hourly work and traffic volume of container …

Persistent link: https://www.econbiz.de/10013435448