National Repository of Grey Literature 8 records found  Search took 0.01 seconds. 
Two-Dimensional Versions of Jumping Automata and Their Applications
Švač, Dominik ; Kocman, Radim (referee) ; Meduna, Alexandr (advisor)
The aim of this work was to create a type of automaton that allows the recognition of objects from the input image. It consists of two types of automaton, a two-dimensional finite automata and jumping automata. The application of this automata allows you to find the numbers in the image. Recognition is using a decision tree, which helps speed up finding the right number.
Neural Network Number Recognition
Doupovec, Zdeněk ; Juránek, Roman (referee) ; Šilhavá, Jana (advisor)
This work describes the basic concepts and principles in the field of neural networks. Closer then deals with the problem of multilayer perceptron networks, namely back-propagation method. There are analyzed the advantages and disadvantages of these methods, the proposal of possible digits recognition system using back-propagation. The aim is to obtain concrete results from the program whitch is able to recognize numbers.
Recognition of digits
Gorgol, Martin ; Hynčica, Tomáš (referee) ; Jirsík, Václav (advisor)
This work describes the basic concepts and principles in the field of neural networks. Closer then this work deals with the identification numbers using these networks, in particular, using the back-propagation method. There is a broken process of choosing a set of signs, types of symptoms and of choosing a neural network topology. The aim is to obtain specific results by using the program for working with neural networks.
Recognition of digits
Gorgol, Martin ; Hynčica, Tomáš (referee) ; Jirsík, Václav (advisor)
This work describes the basic concepts and principles in the field of neural networks. Closer then this work deals with the identification numbers using these networks, in particular, using the back-propagation method. There is a broken process of choosing a set of signs, types of symptoms and of choosing a neural network topology. The aim is to obtain specific results by using the program for working with neural networks.
Two-Dimensional Versions of Jumping Automata and Their Applications
Švač, Dominik ; Kocman, Radim (referee) ; Meduna, Alexandr (advisor)
The aim of this work was to create a type of automaton that allows the recognition of objects from the input image. It consists of two types of automaton, a two-dimensional finite automata and jumping automata. The application of this automata allows you to find the numbers in the image. Recognition is using a decision tree, which helps speed up finding the right number.
Recognition of digits
Gorgol, Martin ; Hynčica, Tomáš (referee) ; Jirsík, Václav (advisor)
This work describes the basic concepts and principles in the field of neural networks. Closer then this work deals with the identification numbers using these networks, in particular, using the back-propagation method. There is a broken process of choosing a set of signs, types of symptoms and of choosing a neural network topology. The aim is to obtain specific results by using the program for working with neural networks.
Recognition of digits
Gorgol, Martin ; Hynčica, Tomáš (referee) ; Jirsík, Václav (advisor)
This work describes the basic concepts and principles in the field of neural networks. Closer then this work deals with the identification numbers using these networks, in particular, using the back-propagation method. There is a broken process of choosing a set of signs, types of symptoms and of choosing a neural network topology. The aim is to obtain specific results by using the program for working with neural networks.
Neural Network Number Recognition
Doupovec, Zdeněk ; Juránek, Roman (referee) ; Šilhavá, Jana (advisor)
This work describes the basic concepts and principles in the field of neural networks. Closer then deals with the problem of multilayer perceptron networks, namely back-propagation method. There are analyzed the advantages and disadvantages of these methods, the proposal of possible digits recognition system using back-propagation. The aim is to obtain concrete results from the program whitch is able to recognize numbers.

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