National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Stock Market Prediction via Technical and Psychological Analysis
Petřík, Patrik ; Pospíchal, Petr (referee) ; Rejnuš, Oldřich (advisor)
This work deals with stock market prediction via technical and psychological analysis. We introduce theoretical resources of technical and psychological analysis. We also introduce some methods of artificial intelligence, specially neural networks and genetic algorithms. We design a system for stock market prediction. We implement and test a part of system. In conclusion we discuss results.
Design of Computing Structures in Cellular Automata
Luža, Jindřich ; Drábek, Vladimír (referee) ; Bidlo, Michal (advisor)
The goal of this master thesis is to examine possibilities of realizing comptutational structures in cellular automata. The work describes the fundamental principles of cellular automata and summarizes some ways of how to achive the specified goal. An overview of Turing-complete and other specialized computational tasks is proposed considering both 1D and 2D cellular automata. It is shown that different computational scenarios in cellular automata can be considered with various setups of the input and output arrangements. With regard to showed inputs and outputs arrangement, sets of tests is designed to find solutions of choosen computational structures on cellular automata with use of choosen evolutionary algorithm. Found solutions are compared by computational resources consumption and difficulty of discovery later.
Design of Computing Structures in Cellular Automata
Luža, Jindřich ; Drábek, Vladimír (referee) ; Bidlo, Michal (advisor)
The goal of this master thesis is to examine possibilities of realizing comptutational structures in cellular automata. The work describes the fundamental principles of cellular automata and summarizes some ways of how to achive the specified goal. An overview of Turing-complete and other specialized computational tasks is proposed considering both 1D and 2D cellular automata. It is shown that different computational scenarios in cellular automata can be considered with various setups of the input and output arrangements. With regard to showed inputs and outputs arrangement, sets of tests is designed to find solutions of choosen computational structures on cellular automata with use of choosen evolutionary algorithm. Found solutions are compared by computational resources consumption and difficulty of discovery later.
Stock Market Prediction via Technical and Psychological Analysis
Petřík, Patrik ; Pospíchal, Petr (referee) ; Rejnuš, Oldřich (advisor)
This work deals with stock market prediction via technical and psychological analysis. We introduce theoretical resources of technical and psychological analysis. We also introduce some methods of artificial intelligence, specially neural networks and genetic algorithms. We design a system for stock market prediction. We implement and test a part of system. In conclusion we discuss results.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.