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Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm
Research article (Neurocomputing, 2017) · cited 11× · AI/ML
Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm
Summary
Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm is a scholarly article[1].
Key Facts
Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-for-output-fiber-length-distribution-of-refining-process-using-wavelet-neural-networks-trained-by-nsga-ii-and-g
MLA“Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-for-output-fiber-length-distribution-of-refining-process-using-wavelet-neural-networks-trained-by-nsga-ii-and-g.
BibTeX@misc{4ortxyz_modeling-for-output-fiber-length-distribution-of-refining-process-using-wavelet-neural-networks-trained-by-nsga-ii-and-g_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-for-output-fiber-length-distribution-of-refining-process-using-wavelet-neural-networks-trained-by-nsga-ii-and-g}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm — https://4ort.xyz/entity/modeling-for-output-fiber-length-distribution-of-refining-process-using-wavelet-neural-networks-trained-by-nsga-ii-and-g (retrieved 2026-05-24)
