Architecture and elements of artificial neural networks. Perceptron. Adaptation algorithms. Development of NN technology. Learning methods for single-layer and multi-layer perceptrons. Optimization and forecasting problems. Software. Neurocomputing: algorithms and applications. Design of artificial neural systems: commercial products. Application of artificial neural networks. Cluster analysis. Classification.
Country
Image
Organiser
Primary Webpage of Module
Module Duration
< 1 year
Module Format
In person
Module Status
Scheduled
Module Type
Bachelor's