Search Results - subject:"ANN model"

Predicting financial distress in the Indian banking sector : a comparative study between the logistic regression, LDA and ANN models

Mishra, Nandita; Ashok, Shruti; Tandon, Deepak - In: Global business review 25 (2024) 6, pp. 1540-1558

Persistent link: https://www.econbiz.de/10015163155

Heat load estimation using Artificial Neural Network

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

Network (ANN) model was developed, trained, and verified. Data from experiments were collected and used in the model … as the main input to the ANN model. There are 17 different model settings used in the study. The settings covered … performance of the ANN model. Nonetheless, it is not conclusive that the increasing number of hidden layers can increase the …

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

Heat load estimation using Artificial Neural Network

In: Energy Reports 6 (2020) 2, pp. 742-747

Persistent link: https://www.econbiz.de/10012652324

Short-term forecast of wind speed through mathematical models

Ferreira, Moniki; Cunha, Alexandre dos Santos; Lucio, Paulo - In: Energy reports 5 (2019), pp. 1172-1184

The predictability of wind information in a given location is essential for the evaluation of a wind power project. Predicting wind speed accurately improves the planning of wind power generation, reducing costs and improving the use of resources. This paper seeks to predict the mean hourly wind...

Persistent link: https://www.econbiz.de/10012125254

Short-term forecast of wind speed through mathematical models

Ferreira, Moniki; Cunha, Alexandre dos Santos; Lucio, Paulo - In: Energy Reports 5 (2019), pp. 1172-1184

Persistent link: https://www.econbiz.de/10012652023

Fraud and Corruption in EU Funding : The Problematic Use of European Funds and Solutions

Blanco-Alcántara, David (ed.); … - 2022

Neural Network (ANN) model to predict illegal activities in ERDF and CF. It also details a map of corruption risk with the …

Persistent link: https://www.econbiz.de/10013461564

Forecasting the house price for Ahvaz city : the comparison of the hedonic and artificial neural network models

Ghorbani, Salar; Afgheh, Seyyed Morteza - In: Journal of urban economics and management : a quarterly … 5 (2017) 19, pp. 29-44

Persistent link: https://www.econbiz.de/10011735057

Predicting bitcoin prices : ANN approach

Gopal, Naresh; Senthilkumar, K. S. - In: International journal of electronic finance : IJEF 10 (2020) 1/2, pp. 67-78

Persistent link: https://www.econbiz.de/10012509280

Modelling photovoltaic modules by a numerical method and artificial neural networks

Meziani, Zahra; Dibi, Zohir - In: African journal of science, technology, innovation & … 8 (2016) 3/4, pp. 331-339

Persistent link: https://www.econbiz.de/10011723628

Predictability of sugar futures : evidence from the Indian commodity market

Misra, Prabhati Kumari; Goswami, Kishor - In: Agricultural finance review 75 (2015) 4, pp. 552-564

Persistent link: https://www.econbiz.de/10011434122