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USING NEURAL NETWORKS TO PREDICTION ON WARSAWS STOCK EXCHANGE

100%
Lichy K.
Information Systems in Management
|
2016
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vol. 5
|
issue 4
508-519
EN
The paper describes an experiment consisting of the application of artificial intelligence algorithms in the processes of predicting the stock market. A special tool was developed to evaluate whether artificial neural networks can predict stock market behavior. The aim of this paper was also to test how neural networks tapping trivial and easily attainable input data perform in an environment which is both complex and difficult to predict.
2
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Machine Learning Based on Cloud Solutions

75%
CHMIELECKI P.
Edukacja-Technika-Informatyka
|
2019
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vol. 10
|
issue 1
132-138
EN
Cognition is a domain of thinking creatures, isn't it? Based on that computers cannot learn anything more than was in the initial data feed. In this article, I just want to defend that nowadays technical solutions can break this rule. The aim of this article is to provide a short technical overview what Machine Learning (ML), Artificial Intelligence (AI) and Neural Networks (NN) were before in the area of standalone gigantic servers, and how do they look now in Cloud Computing (CC) times. The ML paradigm is not any more reserved for big enterprises only but now is available for single internet user. I just want to present AWS and Azure, as the biggest CC providers, functionalities and potential usage of such Cognitive Services (CS) in current internet services. The great example is for instance bot usage instead of diving deep in the FAQ on the company website or digging into the corporate wiki. Another big area is graphics analysis and sound or text recognition. Those are only examples of predefined CC functions ready for use right now in the public cloud.
3
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Zarządzanie nieruchomościami z wykorzystaniem kognitywnej maszyny wnioskującej

63%
Nowak-Nova D.
Nowoczesne Systemy Zarządzania
|
2023
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vol. 18
|
issue 1
29-48
EN
The article presents the possibility of using Automatic Valuation Models (AVMs), extended with technologies of Machine Learning algorithms and Neural Networks, for cognitive processing in the area of Facility Management. Experiments simulating, in the processes of operational management of real estate, of AVMs’s behavior in a cognitive reasoning machine, have been described. The correctness of operation of decision service algorithms, triggered by automated inference engines, has been examined for generalization of information on the property and the planning process using the algorithms. The key findings of the study confirm that the adoption of a cognitive perspective for AVMs and the application of algorithm technology and artificial neural networks in the operational management of real estate, increases the productivity of the processes, and, thus brings benefits the managing entity.
PL
W artykule przedstawiono możliwość zastosowania Automatycznych Modeli Wyceny (AVMs), rozszerzonych o technologie algorytmów uczenia maszynowego i sztuczne sieci neuronowe, do przetwarzania kognitywnego w obszarze Facility Management. Opisano eksperymenty symulujące w procesach operacyjnego zarządzania nieruchomością, zachowania AVMs w kognitywnej maszynie wnioskującej. Badano poprawność działania algorytmów usług decyzyjnych wywoływanych przez zautomatyzowane silniki wnioskujące dla generalizacji informacji o nieruchomości oraz procesu planowania wykorzystującego algorytmy. Kluczowe wnioski z badania potwierdzają, że przyjęcie dla AVMs perspektywy kognitywnej i zastosowanie technologii algorytmów i sztucznych sieci neuronowych w operacyjnym zarządzaniu nieruchomością zwiększa produktywność procesów, tym samym przynosi korzyść zarządzającemu.
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