Artificial Neural Networks
ABOUT
Artificial Neural Networks are information processing paradigms. Inspired by biological nervous systems, Artificial Neural Networks process information partially similar to the way a biological brain solves problems. The structure of the information processing system is composed by a large number of highly interconnected neurones (processing elements). Due to the ability of adjusting synaptic connections between neurons, Artificial Neural Networks are able to learn as well as to organise themselves.
Neural Networks are able to to derive meaning from complicated or imprecise data. Due to this ability, Artificial Neural Networks can analyse great amount of data by detecting patterns and trends which are too complex to for either humans or conventional computer programs.
RESOURCES
https://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html
https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_neural_networks.htm
