National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Algebraization and Parameterization Transition Relations between Structured Objects with Applications in the Field of Neural Networks
Smetana, Bedřich ; Beránek, Jaroslav (referee) ; Mayerová,, Šárka (referee) ; Chvalina, Jan (advisor)
The dissertation thesis investigates the modeling of the neural network activity with a focus on a multilayer forward neural network (MLP – Multi Layer Perceptron). In this often used structure of neural networks, time-varying neurons are used, along with an analogy in modeling hyperstructures of linear differential operators. Using a finite lemma and defined hyperoperation, a hyperstructure composed of neurons is defined for a given transient function. There are examined their properties with an emphasis on structures with a layout.
Algebraization and Parameterization Transition Relations between Structured Objects with Applications in the Field of Neural Networks
Smetana, Bedřich ; Beránek, Jaroslav (referee) ; Mayerová,, Šárka (referee) ; Chvalina, Jan (advisor)
The dissertation thesis investigates the modeling of the neural network activity with a focus on a multilayer forward neural network (MLP – Multi Layer Perceptron). In this often used structure of neural networks, time-varying neurons are used, along with an analogy in modeling hyperstructures of linear differential operators. Using a finite lemma and defined hyperoperation, a hyperstructure composed of neurons is defined for a given transient function. There are examined their properties with an emphasis on structures with a layout.

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