Multi-response non-parametric profiling using Taguchi's qualimetric engineering and neurocomputing methods: Screening a foaming process in a solar collector assembly-Reference-Cited by-同舟云学术

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Multi-response non-parametric profiling using Taguchi's qualimetric engineering and neurocomputing methods: Screening a foaming process in a solar collector assembly

Published:2014-09 Issue: Volume:22 Page:222-237
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Besseris George J.

Publisher

Elsevier BV

Subject

Software

Reference76 articles.

1. Robust Engineering-Learn How to Boost Quality While Reducing Costs and Time to Market;Taguchi,2000

2. A review of data mining applications for quality improvement in manufacturing industry;Koksal;Expert Syst. Appl.,2011

3. Machine Learning: The Art and Science of Algorithms That Make Sense of Data;Flach,2012

4. Quality Engineering Using Robust Design;Phadke,1989

5. Quality Engineering Handbook;Taguchi,2004

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Taguchi-generalized regression neural network micro-screening for physical and sensory characteristics of bread;Heliyon;2018-03

2. Screening dense and noisy DOX-datasets with NN-blending and “dizzy” swarm intelligence: Profiling a water quality process;Swarm and Evolutionary Computation;2017-02

3. Machinability evaluation and screening of leaded and lead-free brasses using a non-linear robust multifactorial profiler;The International Journal of Advanced Manufacturing Technology;2016-02-12

4. Profiling multiple static and transient puff-pastry characteristics with a robust-and-intelligent processor;Journal of Food Engineering;2015-11

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