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Finanzmarktprognose mit neuronalen Netzen : Training mit Backpropagation und genetisch-evolutionären Verfahren
Hövel, Christoph A. - 2003 - 1. Aufl.
Persistent link: https://www.econbiz.de/10001825887
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Künstliche Neuronale Netze zur Prognose ökonomischer Zeitreihen
Lukassek, Eduard Johannes - 2005
Persistent link: https://www.econbiz.de/10002749792
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Formulierung und Optimierung neuronaler Netze
Rast, Martin - 2004
Persistent link: https://www.econbiz.de/10002178813
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Predictions, nonlinearities and portfolio choice : applications of artificial neural networks to German market indexes
Kruse, Friedrich Christian - 2012 - 1. Aufl
Persistent link: https://www.econbiz.de/10009628440
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Recurrent neural network based parameter estimation of Hawkes model on high-frequency financial data
Lee, Kyungsub - In: Finance research letters 55 (2023) 1, pp. 1-6
Persistent link: https://www.econbiz.de/10014473319
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Künstliche neuronale Netze zur Risikomessung bei Aktien und Renten : am Beispiel deutscher Lebensversicherungsunternehmen
Rauscher, Markus - 2004 - 1. Aufl.
Persistent link: https://www.econbiz.de/10013420595
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A developed stock price forecasting model using support vector machine combined with metaheuristic algorithms
Mahmoodi, Armin; Hashemi, Leila; Jasemi, Milad; … - In: Opsearch : journal of the Operational Research Society … 60 (2023) 1, pp. 59-86
Persistent link: https://www.econbiz.de/10014280628
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Forecasting of future stock prices using neural networks and genetic algorithms
Mitilineos, Stelios A.; Artikis, Panayiotis G. - In: International journal of decision sciences, risk and … 7 (2017) 1/2, pp. 2-25
Persistent link: https://www.econbiz.de/10011797297
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Application of artificial intelligence in stock market forecasting : a critique, review, and research agenda
Chopra, Ritika; Sharma, Gagan Deep - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-34
The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...
Persistent link: https://www.econbiz.de/10012795264
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Forecasting the stock exchange of Thailand using data mining techniques
Kanokkarn Snae Namahoot; Viphasiri Jantasri - In: International journal of electronic finance : IJEF 10 (2021) 4, pp. 211-231
Persistent link: https://www.econbiz.de/10012798947