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Backpropagation Neural Network for Interval Prediction of Three-Phase Ampacity Level in Power Systems

Tsoukalas, Lefteri H.; Alamaniotis, Miltiadis; Fainti, Rafik - In: International Journal of Monitoring and Surveillance … 4 (2016) 3, pp. 1-20

The modern way of living depends on a very high degree on electricity utilization. People take for granted that their energy needs will be satisfied 24/7 which mandates the maintaining of the power grid in stable state. To that end, the development of precise methods for monitoring and...

Persistent link: https://www.econbiz.de/10012046679

A simple neural network for ARMA(p,q) time series

Hwarng, H. Brian; Ang, H. T. - In: Omega 29 (2001) 4, pp. 319-333

This study was designed: (a) to investigate a simple neural-network solution to forecasting the special class of time series corresponding to a wide range of ARMA(p,q) structures; (b) to study the significance of matching the input window size with the nature of time series. The study adopted a...

Persistent link: https://www.econbiz.de/10005358651

Neural networks and some applications to finance

Feldman, K.; Kingdon, J. - In: Applied Mathematical Finance 2 (1995) 1, pp. 17-42

Neural networks are an established class of non-linear modelling technique. This paper offers an introduction and overview to neural nets with particular emphasis on financial applications. We present a brief history of the subject and provide details on two of the more popular models. In...

Persistent link: https://www.econbiz.de/10009279110

The application of neural networks to forecast fuzzy time series

Huarng, Kunhuang; Yu, Tiffany Hui-Kuang - In: Physica A: Statistical Mechanics and its Applications 363 (2006) 2, pp. 481-491

applies a backpropagation neural network because of its nonlinear structures. We propose two models: a basic model using a …

Persistent link: https://www.econbiz.de/10010872741

Using data analysis techniques to classify counties from Romania in terms of education, according to indexes from economic and social fields

Mironescu, Alexandra-Andreea; Gabriela, Grigorescu Ioana; … - In: Romanian economic and business review 18 (2023) 1, pp. 15-33

Persistent link: https://www.econbiz.de/10014287626

An analysis of the key-variables of default risk using complex systems

Falavigna, Greta - In: International Journal of Business Performance Management 10 (2008) 2/3, pp. 202-230

provide a very good performance. The conclusion is that Artificial Neural Network (ANN) models are able to identify key …

Persistent link: https://www.econbiz.de/10010816660

Improvements to the Backpropagation Algorithm

Petrini, Mircea - In: Annals of the University of Petrosani, Economics 12 (2012) 4, pp. 185-192

This paper presents some simple techniques to improve the backpropagation algorithm. Since learning in neural networks …

Persistent link: https://www.econbiz.de/10011067025

Extended Network for Backpropagation Algorithm

Petrini, Mircea - In: Annals of the University of Petrosani, Economics 12 (2012) 4, pp. 177-184

This paper presents the backpropagation algorithm based on an extended network approach in which the algorithm reduces …

Persistent link: https://www.econbiz.de/10011067158

Electroless Nickel-Phosphorus Composite Coatings: A Review

Sahoo, Prasanta; Gadhari, Prasanna - In: International Journal of Manufacturing, Materials, and … 6 (2016) 1, pp. 14-50

Electroless nickel composite coatings possess excellent mechanical and tribological properties such as, hardness, wear … the particle incorporation in the coating and its effect on coating structure, hardness, wear resistance, friction …

Persistent link: https://www.econbiz.de/10012046619

Effect of Varying Wt% of TiC on Mechanical and Wear Properties of RZ5-TiC In-Situ Composite

Mehra, Deepak; Mahapatra, M.M.; Harsha, S. P. - In: International Journal of Manufacturing, Materials, and … 8 (2018) 2, pp. 45-56

The purpose of this article is to enhance the mechanical properties and wear resistance of the RZ5 alloy used in the … self-propagating high temperature (S.H.S.) method and its wear behavior. The effects of TiC particle on mechanical and … microstructural properties of the composite are studied. The wear test is performed by varying the sliding distance and applied load …

Persistent link: https://www.econbiz.de/10012046657