Yang Zheng Rong
School of Biosciences, University of Exeter, Exeter, UK.
Methods Mol Biol. 2010;609:197-222. doi: 10.1007/978-1-60327-241-4_12.
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.
神经网络是一类智能学习机器,用于建立现实世界对象描述符之间的关系。作为优化工具,它们也是一类计算算法,通过统计/数值技术来实现参数估计、模型选择和泛化增强。在生物信息学应用中,神经网络在分类、函数逼近、知识发现和数据可视化方面发挥了重要作用。本章将重点介绍有监督神经网络,并讨论它们在生物信息学中的应用。