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Rozprawy doktorskie na temat „NARX Neural Network”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Kováčik, Juraj. "Využití umělé inteligence na kapitálových trzích." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224421.

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Ševčík, Martin. "Využití prostředků umělé inteligence pro podporu na kapitálových trzích." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223601.

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This diploma thesis describes issues of use of means of artificial intelligence for the decision making support on stock market. It includes theoretical knowledge of technical, fundamental and psychological analysis and artificial intelligence. Based on these facts have been created specific suggestions for the use of artificial neural networks to forecast the future value of the index S&P 500 by using development environment of the MATLAB software.

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Miklósy, Jiří. "Využití prostředků umělé inteligence na finančních trzích." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-223952.

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Tato práce se zabývá návrhem, realizací a optimalizací systému určenímu k obchodování na finančních trzích, konkrétně s technologickými firmami trhu NASDAQ. K tomuto účelu jsou využívány technické indicatory a hlavně neuronových sítí. Vlastní řešení je pak realizováno v prostředi MATLAB.

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Vaško, Jan. "Využití prostředků umělé inteligence na kapitálových trzích." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2011. http://www.nusl.cz/ntk/nusl-222910.

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Diploma thesis deals with analyzing the possibility of using artificial intelligence, specifically artificial neural networks and fuzzy logic, on the capital markets as a tool to support decision making in business. The Matlab software is used for this purpose. The work is divided into three parts. The first part deals with theoretical knowledge, brief description of the current situationin is covered in a second part and the theoretical solutions are applied to the system in the third section.

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JÃnior, JosÃ Maria Pires de Menezes. "Redes neurais dinÃmicas para prediÃÃo e modelagem nÃo-linear de sÃries temporais." Universidade Federal do CearÃ, 2006. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2090.

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Neste trabalho, redes neurais dinÃmicas sÃo avaliadas como modelos nÃo-lineares eficientes para prediÃÃo de sÃries temporais complexas. Entre as arquiteturas avaliadas estÃo as redes FTDNN, Elman e NARX. A capacidade preditiva destas redes sÃo testadas em tarefas de prediÃÃo de um-passo-adiante e mÃltiplos-passos-adiante. Para este fim, sÃo usadas as seguintes sÃries temporais: sÃrie laser caÃtico, sÃrie caÃtica Mackey-Glass, alÃm de sÃries de trÃfego de rede de computadores com caracterÃsticas auto-similares. O uso da rede NARX em prediÃÃo de sÃries temporais Ã uma contribuiÃÃo desta disserta

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6

Rocha, Renato Miguel Emílio. "Modelling of an electromagnetic generator using artificial neural networks." Master's thesis, Universidade de Aveiro, 2018. http://hdl.handle.net/10773/23608.

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Mestrado em Engenharia Mecânica<br>The increasing necessity for autonomous functioning systems alied with comsumption reduction by microelectronic devices over the last years, has motivated the research on self-powering devices for remote applications. Developing an energy harvestring device for a determined application requires its study and optimization. Therefore, modeling the dynamics of the system for simulation purposes becomes mandatory. The use of analytical mathematical models or FEM is a standard approach for the development of computable models. However, this approach reveals

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7

Santos, Tatiana Fernanda Mousquer dos. "APLICAÇÃO DE SÉRIES TEMPORAIS E REDES NEURAIS EM UM AMBIENTE DE COMPUTAÇÃO EM NUVEM." Universidade Federal de Santa Maria, 2014. http://repositorio.ufsm.br/handle/1/8316.

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Cloud computing has emerged to change the way computing is offered and used. Instead of having all the necessary hardware and software to manipulate and to store their data, users just need a mechanism to access the Internet. So, the efficient provisioning on demand of computational resources is a challenge to comply with the needs of users. Thus, there is a problem related to the lack of an underlying mechanism to assist a cloud management system to maintain acceptable levels of Quality of Service (QoS) pro-actively. In this context, this work makes a comparative analysis of the predictive ab

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8

Lajczyk, Pavel. "Využití umělé inteligence na kapitálových trzích." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-223886.

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This master's thesis deals with artificial neural networks and possibilities of their use on stock market. In next chapters of this thesis there are provided design and implementation of stock prices prediction tool. The implementation is done with use of the MATLAB software. The created prediction tool is then tested in a simple trading simulation and achieved results are discussed in the end

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9

Skočík, Michal. "Využití umělé inteligence na kapitálových trzích." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318288.

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Diploma thesis is focused on problematics of artificial neural networks and their usage on capital markets. There is a software created as a part of this diploma thesis which can load input data and create neural network that serves for share price forecast. This program is created in numerical computing environment MATLAB. Created neural network is tested under simulation of business model. Results are discussed upon examination of results of simulation.

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10

Brnka, Radim. "Využití umělé inteligence na kapitálových trzích." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223594.

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The thesis deals with the design and optimization of artificial neural networks (specifically nonlinear autoregressive networks) and their subsequent usage in predictive application of stock market time series.

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11

Barjak, Maroš. "Využití umělé inteligence na kapitálových trzích." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-223885.

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The thesis deals with design, implementation and optimization of a model based on artificial intelligence and neural networks, which is able to predict future time series prices on a stock market. Main goal is to create an object oriented application for successful future trend prediction of financial derivatives with the use of cooperating methods such as Hurst exponent evaluation and automated market simulation.

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12

Pekárek, Jan. "Analýza a predikce vývoje devizových trhů pomocí chaotických atraktorů a neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224706.

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This thesis deals with a complex analysis and prediction of foreign exchange markets. It uses advanced artificial intelligence methods, namely neural networks and chaos theory. It introduces unconventional approaches and methods of each of these areas, compares them and uses on a real problem. The core of this thesis is a comparison of several prediction models based on completely different principles and underlying theories. The outcome is then a selection of the most appropriate prediction model called NAR + H. The model is evaluated according to several criteria, the pros and cons are discu

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13

Soman, Parashar Chandrashekhar. "An adaptive NARX neural network approach for financial time series prediction." 2008. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17575.

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14

Ngwangwa, Harry Magadhlela. "Road surface profile monitoring based on vehicle response and artificial neural network simulation." Thesis, 2015. http://hdl.handle.net/2263/43788.

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Road damage identification is still largely based on visual inspection methods and profilometer data. Visual inspection methods heavily rely on expert knowledge which is often very subjective. They also result in traffic flow interference due to the need for redirection of traffic to alternative routes during inspection. In addition to this, accurate high-speed profilometers, such as scanning vehicles, are extremely expensive often requiring strong economic justifications for their acquisition. The low-cost profilometers are very slow, typically operating at or less than walking speeds, causin

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15

Vaz, André Gabriel Casaca de Rocha. "Photovoltaic forecasting with artificil neural networks." Master's thesis, 2014. http://hdl.handle.net/10451/11405.

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Tese de mestrado em Engenharia da Energia e do Ambiente, apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2014<br>São necessários esforços adicionais para promover a utilização de sistemas de produção de energia fotovoltaica conectados à rede como uma fonte fundamental de sistemas de energia elétrica, em níveis de penetrações mais elevados. Nesta tese é abordada a variabilidade da geração elétrica por sistemas fotovoltaicos e é desenvolvida com base na premissa de que o desempenho e a gestão de pequenas redes elétricas podem ser melhorados quando são utilizadas as inform

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