Erasmus course
Artificial Neural Networks Applications in Science and Medicine From 14th to 18th of September, 2015
By Chempetitive. License: CC-BY-SA 3.0
Presentation
Artificial neural networks are relatively new computational tools, based on the properties of biological neural systems, which have found extensive utilization in many disciplines for modelling and solving complex real-world problems. The attractiveness of ANNs comes from the remarkable information processing characteristics of the biological system such as nonlinearity, high parallelism, robustness, fault and noise tolerance, and learning and generalization capabilities.ANNs have been utilized in a variety of applications ranging from modelling, classification, pattern recognition, and multivariate data analysis. Their applications include: 1) interpretation of mass spectrometry, GC, CE and HPLC data, 2) pattern recognition of DNA, RNA, protein structure, and microscopic images, 3) ANNs are extensively used in biomedicine as a diagnostic system, for biochemical analysis, medical image analysis and drug development, 4) evaluation of kinetic data and 5) Interpretation of satellite data, among others.
By Soon-Beom HongAndrew ZaleskyLuca CocchiAlex FornitoEun-Jung ChoiHo-Hyun KimJeong-Eun SuhChang-Dai KimJae-Won KimSoon-Hyung Yi [CC BY-SA 3.0], via Wikimedia Commons
Contact information
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Please do not hesitate to contact the organizers if you require any additional information or assistance.
E- mail: victoria.salvado@udg.edu -
Postal address:
Departament de Química
Universitat de Girona
Campus Montilivi, s/n 17071 Girona (Spain) - Telephone: +34 972 418 190
