Neural networks and statistical techniques: A review of applications Export

@article{citeulike:3909595, abstract = {Neural networks are being used in areas of prediction and classification, the areas where statistical methods have traditionally been used. Both the traditional statistical methods and neural networks are looked upon as competing model-building techniques in literature. This paper carries out a comprehensive review of articles that involve a comparative study of feed forward neural networks and statistical techniques used for prediction and classification problems in various areas of applications. Tabular presentations highlighting the important features of these articles are also provided. This study aims to give useful insight into the capabilities of neural networks and statistical methods used in different kinds of applications.}, author = {Paliwal, M. and Kumar, U.}, citeulike-article-id = {3909595}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.eswa.2007.10.005}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0957417407004952}, doi = {10.1016/j.eswa.2007.10.005}, issn = {09574174}, journal = {Expert Systems with Applications}, keywords = {ann, classification, statistical}, month = {January}, number = {1}, pages = {2--17}, posted-at = {2009-01-20 00:55:06}, priority = {2}, title = {Neural networks and statistical techniques: A review of applications}, url = {http://dx.doi.org/10.1016/j.eswa.2007.10.005}, volume = {36}, year = {2009} }

TY - JOUR ID - citeulike:3909595 L3 - citeulike-article-id:3909595 N2 - Neural networks are being used in areas of prediction and classification, the areas where statistical methods have traditionally been used. Both the traditional statistical methods and neural networks are looked upon as competing model-building techniques in literature. This paper carries out a comprehensive review of articles that involve a comparative study of feed forward neural networks and statistical techniques used for prediction and classification problems in various areas of applications. Tabular presentations highlighting the important features of these articles are also provided. This study aims to give useful insight into the capabilities of neural networks and statistical methods used in different kinds of applications. IS - 1 JF - Expert Systems with Applications SN - 09574174 EP - 17 TI - Neural networks and statistical techniques: A review of applications VL - 36 SP - 2 KW - ann KW - classification KW - statistical AU - Paliwal, M AU - Kumar, U PY - 2009/01// UR - http://dx.doi.org/10.1016/j.eswa.2007.10.005 ER -