Step change point estimation in the multivariate-attribute process variability using artificial neural networks and maximum likelihood estimation
نویسندگان
چکیده
منابع مشابه
Simultaneous Monitoring of Multivariate-Attribute Process Mean and Variability Using Artificial Neural Networks
In some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. In this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...
متن کاملsimultaneous monitoring of multivariate-attribute process mean and variability using artificial neural networks
in some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. in this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...
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ژورنال
عنوان ژورنال: Journal of Industrial Engineering International
سال: 2015
ISSN: 1735-5702,2251-712X
DOI: 10.1007/s40092-015-0117-7