Control chart pattern recognition using an optimized neural network and efficient features

Control Chart Pattern Classification Based on Optimized Intelligent Approach: A Comparative Study

“…The issue of learning algorithm and its speed is very important for the MLP model. In this study the following learning algorithms are considered [4].…”

“…The BP algorithm makes use of gradient descent with a momentum term to smooth out oscillation [4]. Eq.…”

“…ANNs can be simply categorized into two groups comprising supervised and unsupervised. Most researchers [4][5][6] have used supervised ANNs, such as multi layer perceptron (MLP), radial basis function (RBF), and learning vector quantization (LVQ), to classify different types of CCPs. Furthermore, unsupervised methods, e.g.…”

Artificial Neural Network Analysis of Xinhui Pericarpium <i>Citri Reticulatae</i> Using Gas Chromatography - Mass Spectrometer - Automated Mass Spectral Deconvolution and Identification System

“…Pattern recognition through neural networks is an automatic processing and interpretation approach which uses mathematical techniques on computer [3]. It is envisioned that artificial neural networks (ANN) can be an alternative approach to distinguish between old peels and new peels.…”

Study on a New Response Function Estimation Method Using Neural Network

“…Because of the effectiveness of using soft-computing NN techniques, a number of researchers presented many applications of the artificial NN approach to RD optimization problems (Rowlands et al 1996, Chiu et al 1997, Su and Chang 1998, Cook et al 2000, and Chow et al 2002. A number of NN applications to control chart problems mostly associated with pattern recognition approaches have reported (Pham and Oztemel 1994, Wani and Pham 1999, and Ebrahimzadelh and Ranaee 2010.…”