Neural networks and statistical techniques: A review of applications

By Mukta Paliwal, U. Kumar. Expert systems with applications, 2009

835 citations recorded by the source corpus.

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Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review (2022, neutral): “After training, the network is able to predict the future value of a certain sequence based on several previous values and some currently existing factors (Paliwal & Kumar, 2009).”
Prediction of red plum juice permeate flux during membrane processing with ANN optimized using RSM (2014, background): “Optimization of various parameters associated with ANNs usually carried out by trial and error procedure that is a very time consuming (Paliwal and Kumar, 2009).”
Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects (2014, background): “Sceptics point out the NNs’ lack of formal theoretical background and see them as a black box (Vellido et al. (1999) and Paliwal and Kumar (2009)).”
Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010, methodology): “In literature [42,51], there is no precise number to the node of the hidden layer.”
Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013, methodology): “A Neural Network (NN) is an artificial intelligent approach which is widely used for classification and prediction [70].”