The paper contains selected results of research related to the nature and the implementation of the neural model supported by the evolutionary algorithm inspired by quantum calculations for determination of prices at the Polish Power Exchange. Numeric data quoted at the Day Ahead Market in the period of 1st January 2015 to 30th June 2015 were used to train the artificial neural network in the model of the system. Attention was paid to quantization method, dequantization method and the method of quantum calculations. Significant improvement of the neural model supported by the quantum-inspired evolutionary algorithm was obtained compared with the model without quantum inspiration
The learning process for multilayered neural networks with many nodes makes heavy demands on computa...
The principal aim of this thesis is to try to simulate the functioning of a quantum perceptron, that...
Nowadays, identification and neural methods are used more and more often in modeling IT forecasting ...
The article is an attempt of the methodological approach to the proposed quantum-inspired method of ...
The work contains selected results of research on the application of quantum computer science to a s...
Abstract. Quantum effects are a natural phenomenon and just like evo-lution, or immune systems, can ...
Abstract: In practice, stock market behavior is difficult to predict accurately because of its high ...
The paper proposes a new method of quantum computing using control and systems theory as well as mat...
The work contains the results of the Day-Ahead Market modeling research at Polish Power Exchange tak...
Neural Networks (NN) are known to be unversal approximators for any non-linear function. Training al...
The article contains selected results of research on the design Systemic Evolutionary Algorithm insp...
This paper presents a comparison of two machine learning methods inspired by nano-scale and macro-sc...
CNPqMiniaturisation of computers components is taking us from classical to quantum physics domain. F...
We investigate the correlations among the intraday prices of the major stocks of the Milan Stock Exc...
Jednym z aktualnych zagadnień gospodarczych jest prognozowanie cen na Giełdzie Energii. Autorzy publ...
The learning process for multilayered neural networks with many nodes makes heavy demands on computa...
The principal aim of this thesis is to try to simulate the functioning of a quantum perceptron, that...
Nowadays, identification and neural methods are used more and more often in modeling IT forecasting ...
The article is an attempt of the methodological approach to the proposed quantum-inspired method of ...
The work contains selected results of research on the application of quantum computer science to a s...
Abstract. Quantum effects are a natural phenomenon and just like evo-lution, or immune systems, can ...
Abstract: In practice, stock market behavior is difficult to predict accurately because of its high ...
The paper proposes a new method of quantum computing using control and systems theory as well as mat...
The work contains the results of the Day-Ahead Market modeling research at Polish Power Exchange tak...
Neural Networks (NN) are known to be unversal approximators for any non-linear function. Training al...
The article contains selected results of research on the design Systemic Evolutionary Algorithm insp...
This paper presents a comparison of two machine learning methods inspired by nano-scale and macro-sc...
CNPqMiniaturisation of computers components is taking us from classical to quantum physics domain. F...
We investigate the correlations among the intraday prices of the major stocks of the Milan Stock Exc...
Jednym z aktualnych zagadnień gospodarczych jest prognozowanie cen na Giełdzie Energii. Autorzy publ...
The learning process for multilayered neural networks with many nodes makes heavy demands on computa...
The principal aim of this thesis is to try to simulate the functioning of a quantum perceptron, that...
Nowadays, identification and neural methods are used more and more often in modeling IT forecasting ...