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Prediction of Time Series Using Statistical Methods
Beluský, Ondrej ; Bidlo, Michal (referee) ; Schwarz, Josef (advisor)
Many companies consider essential to obtain forecast of time series of uncertain variables that influence their decisions and actions. Marketing includes a number of decisions that depend on a reliable forecast. Forecasts are based directly or indirectly on the information derived from historical data. This data may include different patterns - such as trend, horizontal pattern, and cyclical or seasonal pattern. Most methods are based on the recognition of these patterns, their projection into the future and thus create a forecast. Other approaches such as neural networks are black boxes, which uses learning.
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Visual Simulator and Debugger of Neural Networks
Beluský, Ondrej ; Zbořil, František (referee) ; Martinek, David (advisor)
Artificial neural networks represent computational parallel systems. This part of artificial intelligence is still researched. Basically neural network is the set of neurons, which are connected together. These networks have aspects of human intelligence, because they have an ability to learn. Their main goal is to simulate human brain, but creating such a network with large number of neurons and connections between them is impossible. They simulate some parts of human thinking. My task was to create visual simulator and debugger of these networks. The program was supposed to have a choice to debugging and stepping the algorithm for learning. My goal was also to implement editor, which allows creating and editing neural networks.
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Visual Simulator and Debugger of Neural Networks
Beluský, Ondrej ; Zbořil, František (referee) ; Martinek, David (advisor)
Artificial neural networks represent computational parallel systems. This part of artificial intelligence is still researched. Basically neural network is the set of neurons, which are connected together. These networks have aspects of human intelligence, because they have an ability to learn. Their main goal is to simulate human brain, but creating such a network with large number of neurons and connections between them is impossible. They simulate some parts of human thinking. My task was to create visual simulator and debugger of these networks. The program was supposed to have a choice to debugging and stepping the algorithm for learning. My goal was also to implement editor, which allows creating and editing neural networks.
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Prediction of Time Series Using Statistical Methods
Beluský, Ondrej ; Bidlo, Michal (referee) ; Schwarz, Josef (advisor)
Many companies consider essential to obtain forecast of time series of uncertain variables that influence their decisions and actions. Marketing includes a number of decisions that depend on a reliable forecast. Forecasts are based directly or indirectly on the information derived from historical data. This data may include different patterns - such as trend, horizontal pattern, and cyclical or seasonal pattern. Most methods are based on the recognition of these patterns, their projection into the future and thus create a forecast. Other approaches such as neural networks are black boxes, which uses learning.
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