Neural networks.
Neural networks are a class of intelligent learning machines establishing the relationships between descriptors of real-world objects. As optimisation tools they are also a class of computational algorithms implemented using statistical/numerical techniques for parameter estimate, model selection, and generalisation enhancement. In bioinformatics applications, neural networks have played an important role for classification, function approximation, knowledge discovery, and data visualisation. This chapter will focus on supervised neural networks and discuss their applications to bioinformatics.
Yang
Zheng Rong
ZR
School of Biosciences, University of Exeter, Exeter, UK.
D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D015415:Biomarkers; D019295:Computational Biology; D057225:Data Mining; D030541:Databases, Genetic; D030562:Databases, Protein; D005786:Gene Expression Regulation; D006801:Humans; D015233:Models, Statistical; D016571:Neural Networks, Computer; D009716:Numerical Analysis, Computer-Assisted; D011487:Protein Conformation; D021281:Quantitative Structure-Activity Relationship; D015203:Reproducibility of Results; D017421:Sequence Analysis; D018511:Systems Integration
D015415:Biomarkers