The Mahalanobis–Taguchi system – Neural network algorithm for data-mining in dynamic environments

Application of Data Mining Using Artificial Neural Network: Survey

“…This algorithm yields two dimensional and irregular representation of the input records [31,32,34]. The experimental outcomes of this algorithm prove that this algorithm is vastly valid in pattern recognition and is computationally efficient from this it can be accomplished that MTS-ANN algorithm can be effectively useful to dynamic environment for data-mining troubles [33]. Ensemble recursive rule extraction is basically mining of rules from the ensemble neural network.…”

“…He implemented this algorithm in dynamic environment [33]. The experimental outcomes of this algorithm proved that this algorithm is vastly valid in pattern recognition and is computationally efficient in addition to the ANN algorithm, is a straightforward and resourceful system for assembling a dynamic structure [33]. From this it can be accomplished that MTS-ANN algorithm can be effectively useful to dynamic environment for data-mining troubles [33].…”

“…The experimental outcomes of this algorithm proved that this algorithm is vastly valid in pattern recognition and is computationally efficient in addition to the ANN algorithm, is a straightforward and resourceful system for assembling a dynamic structure [33]. From this it can be accomplished that MTS-ANN algorithm can be effectively useful to dynamic environment for data-mining troubles [33]. In this given research the author is curious in the field of transportation and wants to apply different data mining techniques to find out dissimilarities, similarities.…”

“…He made use of an algorithm called MTS (MahalanobisTaguchi system) ANN(artificial neural network) in expert system. He implemented this algorithm in dynamic environment [33]. The experimental outcomes of this algorithm proved that this algorithm is vastly valid in pattern recognition and is computationally efficient in addition to the ANN algorithm, is a straightforward and resourceful system for assembling a dynamic structure [33].…”

“…This algorithm detects and recovers the irregular parameters rapidly and efficiently [29]. In this paper [33] the author describes a novel approach for Expert system application. He made use of an algorithm called MTS (MahalanobisTaguchi system) ANN(artificial neural network) in expert system.…”