✦ LIBER ✦

Predictive non-linear modeling of complex data by artificial neural networks

✍ Scribed by Jonas S. Almeida

Publisher: Elsevier Science
Year: 2002
Tongue: English
Weight: 69 KB
Volume: 13
Category: Article
ISSN: 0958-1669
DOI: 10.1016/s0958-1669(02)00288-4

No coin nor oath required. For personal study only.

✦ Synopsis

An artificial neural network (ANN) is an artificial intelligence tool that identifies arbitrary nonlinear multiparametric discriminant functions directly from experimental data. The use of ANNs has gained increasing popularity for applications where a mechanistic description of the dependency between dependent and independent variables is either unknown or very complex. This machine learning technique can be roughly described as a universal algebraic function that will distinguish signal from noise directly from experimental data. The application of ANNs to complex relationships makes them highly attractive for the study of biological systems. Recent applications include the analysis of expression profiles and genomic and proteomic sequences.

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