FI:P021 Neuronové sítě I - Course Information

P021 Neuronové sítě I

Faculty of Informatics
Autumn 1996

Extent and Intensity

2/0. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Jiří Hořejš, CSc. (lecturer)

Guaranteed by

Contact Person: doc. RNDr. Jiří Hořejš, CSc.

Prerequisites

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

Syllabus

Introduction to Neural Networks. History of neurocomputing; neurophysiological motivations; mathematical model of neural network: formal neuron, organizational, active, and adaptive dynamics; position of neural networks in computer science: comparison with von Neumann computer architecture, applications, implementations, neurocomputers.
Classical Models of Neural Networks. Perceptron: convergence; multi-layered network and backpropagation strategy: choice of topology and generalization; MADALINE: Widrow learning rule.
Associative Neural Networks. Linear associative network: Hebb law and pseudohebbian adaptation; Hopfield network: energy, capacity; continuous Hopfield network: traveling salesman problem; Boltzmann machine: simulated annealing, equilibrium.
Self-Organization. Kohonen network: unsupervised learning; Kohonen maps; counterpropagation: Grossberg learning rule.
Seminar: Software implementation of particular neural network models and their simple applications.

Language of instruction

Czech

The course is also listed under the following terms Autumn 1995, Autumn 1998, Autumn 1999, Spring 2001, Autumn 2001.