EventsMOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published
This submission belongs to the session 05. AI.MED-08: AI, Neuro Sciences, Med. Info., & Biomed. Eng. Congress, Coruña, Spain-Carleton, Canada-Stanford, USA, 2021 of the event MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published date
23 Nov, 2021
Academic Editor
author-avatarHumbert G. Díaz
Citation
Daniel Rivero Cebrián, An Introduction to Artificial Neural Networks, in Proceedings of MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed., 25 January–30 December 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-07-11843
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An Introduction to Artificial Neural Networks

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1. RNASA-IMEDIR
2. UDC
Abstract

This presentation is an introduction to the world of Artificial Neural Networks. Nowadays, Artificial Neural Networks are systems that have been very successful in many different problems, so their study is very useful for researchers in many different environments. Specifically, in the biomedical field, knowledge of Artificial Neural Networks is currently of great importance given the large number of applications they have, especially in the intelligent processing of images and signals. In this presentation we will review from the simplest models such as ADALINE to more complex models such as the multilayer perceptron, leaving the way open to start learning Deep Learning techniques. A historical introduction is given and the main algorithms of operation are reviewed, but special emphasis is placed on practical applications, especially in the biomedical field.

Keywords
artificial intelligence
machine learning
artificial neural networks
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