Search Results - subject:"Feed Forward Neural Networks"

Which return regime induces overconfidence behavior? : artificial intelligence and a nonlinear approach

Alp Coşkun, Esra; Kahyaoglu, Hakan; Lau, Chi Keung - In: Financial innovation : FIN 9 (2023) 1, pp. 1-34

Overconfidence behavior, one form of positive illusion, has drawn considerable attention throughout history because it is viewed as the main reason for many crises. Investors' overconfidence, which can be observed as overtrading following positive returns, may lead to inefficiencies in stock...

Persistent link: https://www.econbiz.de/10014288970

Multivariate density estimation by neural networks

Peerlings, Dewi; Brakel, Jan A. van den; Baştürk, Nalan; … - 2021

Persistent link: https://www.econbiz.de/10012518633

Improvement of Envelope Design Through Multilayer Feed-Forward Neural Networks

Chen, Qiquan; Weng, Ji; Corcoran, Stephen; Fan, Chenhao - In: Open House International 41 (2016) 3, pp. 32-37

The performance of the building envelope of a large-scale public building significantly influences the energy consumption of such a building. This study aims to determine the best strategy for the envelope by examining the engineering design of the building in Nanchang University. The building...

Persistent link: https://www.econbiz.de/10014964837

A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks

Aladag, Cagdas Hakan; Yolcu, Ufuk; Egrioglu, Erol - In: Mathematics and Computers in Simulation (MATCOM) 81 (2010) 4, pp. 875-882

feed forward neural networks to determine fuzzy relationships in high order fuzzy time series. Another study for increasing … method in order to obtain more accurate forecasts. In the proposed method, fuzzy relationships are defined by feed forward … neural networks and adaptive expectation model is used for adjusting forecasted values. Unlike the papers of Cheng et al. [6 …

Persistent link: https://www.econbiz.de/10010749967

Predicting NBA Games Using Neural Networks

Loeffelholz, Bernard; Bednar, Earl; Bauer, Kenneth - In: Journal of Quantitative Analysis in Sports 5 (2009) 1, pp. 7-7

In this paper we examine the use of neural networks as a tool for predicting the success of basketball teams in the National Basketball Association (NBA). Statistics for 620 NBA games were collected and used to train a variety of neural networks such as feed-forward, radial basis, probabilistic...

Persistent link: https://www.econbiz.de/10005246618

Testing Forecast Accuracy of Foreign Exchange Rates: Predictions from Feed Forward and Various Recurrent Neural Network Architectures

Kiani, Khurshid; Kastens, Terry - In: Computational Economics 32 (2008) 4, pp. 383-406

Persistent link: https://www.econbiz.de/10005542302

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

This paper presents a method for the definition of the variables that determine the default. The choice of key-variables in default risk analysis is very important for banks and firms. Indeed, when a firm goes bankrupt, serious problems arise for all the stakeholders of the firm, as well as, for...

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

A rating model simulation for risk analysis

Falavigna, Greta - In: International Journal of Business Performance Management 10 (2008) 2/3, pp. 269-299

This study analyses the situation of a bank that wants to create an Internal Rating System (IRB). A credit institute can decide to simulate rating judgements from an external rating agency, like Standard and Poor's or Moody's or Fitch Rating. This research compares different frameworks of neural...

Persistent link: https://www.econbiz.de/10010669374