system identification process control natural resource management quantum chemistry general game playing pattern recognition face identification 3D reconstruction handwritten medical diagnosis ex-ante artificial financial markets data mining machine translation e-mail spam filtering neural networks
Because of their ability to reproduce and model nonlinear processes, artificial neural networks have found applications in many disciplines. Application areas include system identification and control (vehicle control, trajectory prediction, process control, natural resource management), quantum chemistry, general game playing, pattern recognition (radar systems, face identification, signal classification, 3D reconstruction, object recognition and more), sensor data analysis, sequence recognition (gesture, speech, handwritten and printed text recognition), medical diagnosis, finance (e.g. ex-ante models for specific financial long-run forecasts and artificial financial markets), data mining, visualization, machine translation, social network filtering and e-mail spam filtering. ANNs have been used to diagnose several types of cancers and to distinguish highly invasive cancer cell lines from less invasive lines using only cell shape information.
