Search Results - subject:"Hidden Layer"

Bossu, Sébastien; Crépey, Stéphane; Nguyen, Hoang-Dung - In: Mathematical finance : an international journal of … 35 (2025) 3, pp. 682-707

Persistent link: https://www.econbiz.de/10015460604

A transparent alternative to neural networks with an application to predicting volatility

Czasonis, Megan; Kritzman, Mark; Turkington, David - 2024 - This version: September 12, 2024

Persistent link: https://www.econbiz.de/10015101048

Asset returns in deep learning methods : an empirical analysis on SSE 50 and CSI 300

Li, Weiping; Mei, Feng - In: Research in international business and finance 54 (2020), pp. 1-21

Persistent link: https://www.econbiz.de/10012581422

Recurrent neural network-based speech recognition using MATLAB

James, Praveen Edward; Mun Hou Kit; Vaithilingam, … - In: International journal of intelligent enterprise 7 (2020) 1/2/3, pp. 56-66

Persistent link: https://www.econbiz.de/10012177243

Neural nets for stock indices : investigating effect of change in hyperparameters

Agarwal, Sonali; Khan, Jwaad Akhtar - In: Theoretical economics letters 9 (2019) 3, pp. 511-529

Persistent link: https://www.econbiz.de/10012395484

Financial trading systems: Is recurrent reinforcement the via?

Bertoluzzo, Francesco; Corazza, Marco - Dipartimento di Matematica Applicata, Università Ca' … - 2006

In this paper we propose a financial trading system whose trading strategy is developed by means of an artificial neural network approach based on a learning algorithm of recurrent reinforcement type. In general terms, this kind of approach consists: first, in directly specifying a trading...

Persistent link: https://www.econbiz.de/10005076145

Evaluating electric environmental issues using BP neural network with optimised hidden layer nodes

Niu, Dongxiao; Lv, Jialiang; Liu, Hongyan - In: International Journal of Global Environmental Issues 9 (2009) 3, pp. 227-238

BP neural network with optimum hidden layer nodes were used to evaluate the power environmental issues in China … hidden layer nodes of BP neural network. The evaluation indices were determined through the training of the BP neural network … high accuracy rate and simple computation complexity were achieved. Therefore, the number of hidden layer nodes can be …

Persistent link: https://www.econbiz.de/10005048934

Evaluating electric environmental issues using BP neural network with optimised hidden layer nodes

Niu, Dongxiao; Lv, Jialiang; Liu, Hongyan - In: International Journal of Global Environmental Issues 9 (2009) 3, pp. 227-238

Persistent link: https://www.econbiz.de/10008461221

Fault detection and isolation in non-linear systems by using oversized neural networks

Thomas, Philippe; Lefebvre, Dimitri - In: Mathematics and Computers in Simulation (MATCOM) 60 (2002) 3, pp. 181-192

supervise is modelised by using a particular structure of neural networks where the hidden layer presents some additive neurons …

Persistent link: https://www.econbiz.de/10010748681