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Artificial Intelligence and Industry 4.0
Kotas, Filip ; Kroupa, Jiří (referee) ; Kovář, Jiří (advisor)
This bachelor thesis deals with search for artificial intelligence methods used in the diagnostics of technical systems. The first part of the work is devoted to the search of used methods in the field of diagnostics of technical systems. The second part summarizes the characteristics and applications of these methods. The conclusion of the thesis deals with the application of the artifical neural network method and the hybrid method „adaptive neuro-fuzzy inference systém“, which is based on the neural network. This part deals with a detailed description and use of these methods in real technical systems.
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Optical Character Recognition
Suchý, Václav ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
This paper describes problems of text recognition in picture. Discuss successes, advatages and disadvantages several methods of recognition. In second part there is described design and implementation of a simple OCR software for typewritten text recognition by using artificial neural networks.
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Software Library for Artificial Neural Networks with Acceleration Using GPU
Trnkóci, Andrej ; Samek, Jan (referee) ; Zbořil, František (advisor)
Artificial neural networks are demanding to computational power of a computer. Increasing their learning speed could mean new posibilities for research or aplication of the algorithm. And that is a purpose of this thesis. The usage of graphics processing units for neural networks learning is one way how to achieve above mentioned goals. This thesis is offering a survey of theoretical background and consequently implementation of a software library for neural networks learning with a Backpropagation algorithm with a support of acceleration on graphics processing unit.
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Artificial Intelligence and Industry 4.0
Kotas, Filip ; Kroupa, Jiří (referee) ; Kovář, Jiří (advisor)
This bachelor thesis deals with search for artificial intelligence methods used in the diagnostics of technical systems. The first part of the work is devoted to the search of used methods in the field of diagnostics of technical systems. The second part summarizes the characteristics and applications of these methods. The conclusion of the thesis deals with the application of the artifical neural network method and the hybrid method „adaptive neuro-fuzzy inference systém“, which is based on the neural network. This part deals with a detailed description and use of these methods in real technical systems.
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|
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Optical Character Recognition
Suchý, Václav ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
This paper describes problems of text recognition in picture. Discuss successes, advatages and disadvantages several methods of recognition. In second part there is described design and implementation of a simple OCR software for typewritten text recognition by using artificial neural networks.
|
|
|
Software Library for Artificial Neural Networks with Acceleration Using GPU
Trnkóci, Andrej ; Samek, Jan (referee) ; Zbořil, František (advisor)
Artificial neural networks are demanding to computational power of a computer. Increasing their learning speed could mean new posibilities for research or aplication of the algorithm. And that is a purpose of this thesis. The usage of graphics processing units for neural networks learning is one way how to achieve above mentioned goals. This thesis is offering a survey of theoretical background and consequently implementation of a software library for neural networks learning with a Backpropagation algorithm with a support of acceleration on graphics processing unit.
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