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Combining robust dynamic neural networks with traditional technical indicators for generating mechanic trading signals

Giribone, Pier Giuseppe; Ligato, Simone; Penone, Francesco - In: International journal of financial engineering 5 (2018) 4, pp. 1-44

Persistent link: https://www.econbiz.de/10012028821

Evolutionary algorithms and artificial intelligence in drug discovery : opportunities, tools, and prospects

Sharma, Moolchand; Deswal, Suman - In: International journal of networking and virtual … 27 (2022) 4, pp. 267-297

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An intelligence-based model for condition monitoring using artificial neural networks

Jenab, K.; Rashidi, K.; Moslehpour, S. - In: International journal of enterprise information systems … 9 (2013) 4, pp. 43-62

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Development of software and algorithms of parallel learning of artificial neural networks using CUDA technologies

Sokolovskyy, Yaroslav; Manokhin, Denys; Kaplunsky, Yaroslav - In: Technology audit and production reserves 5 (2021) 2/61, pp. 21-25

Persistent link: https://www.econbiz.de/10013167345

Optimal deep neural networks by maximization of the approximation power

Calvo Pardo, Héctor F.; Mancini, Tullio; Olmo, Jose - In: Computers & operations research : and their … 156 (2023), pp. 1-15

Persistent link: https://www.econbiz.de/10014373690

Intelligent systems and financial forecasting

Kingdon, Jason - 1997

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A machine learning approach to portfolio pricing and risk management for high-dimensional problems

Fernandez-Arjona, Lucio; Filipović, Damir - 2020

We present a general framework for portfolio risk management in discrete time, based on a replicating martingale. This martingale is learned from a finite sample in a supervised setting. The model learns the features necessary for an effective low-dimensional representation, overcoming the curse...

Persistent link: https://www.econbiz.de/10012219260

A machine learning approach to portfolio pricing and risk management for high-dimensional problems

Fernandez-Arjona, Lucio; Filipović, Damir - In: Mathematical finance : an international journal of … 32 (2022) 4, pp. 982-1019

Persistent link: https://www.econbiz.de/10013463383

Neuronale Netze in der Ökonomie : Grundlagen und finanzwirtschaftliche Anwendungen

Rehkugler, Heinz (ed.); Zimmermann, Hans-Georg (contributor) - 1994

Persistent link: https://www.econbiz.de/10014013144

Predicting the likelihood of dividend payment from Indonesian public companies with data mining methods

Kosala, Raymond - In: International journal of business information systems : … 26 (2017) 2, pp. 139-150

Persistent link: https://www.econbiz.de/10011856393