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Chaos-genetic algorithms for optimizing the operating conditions based on RBF-PLS model

Computers & chemical engineering, 2003-10, Vol.27 (10), p.1393-1404

2003

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Detection of outlier and a robust BP algorithm against outlier

Computers & chemical engineering, 2004-07, Vol.28 (8), p.1403-1408

2004

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A New Approach to Improve Particle Swarm Optimization

Genetic and Evolutionary Computation — GECCO 2003, p.134-139

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Combinative neural network and its applications

Computational biology and chemistry, 2003-07, Vol.27 (3), p.287-295

2003

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Novel multi-level optimization method for chemical complex using intelligent agent

Journal of systems science and systems engineering, 2003-06, Vol.12 (2), p.236-253

2003

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Adaptive numerical morphological filter for identifying chromatographic signals

Journal of Chromatography A, 1999-09, Vol.855 (1), p.305-315

1999

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Corrigendum to “Chaos-genetic algorithms for optimizing the operation conditions based on RBF-PLS model” [Comput. Chem. Eng. 27 (2003) 1393–1404]

Computers & chemical engineering, 2004-04, Vol.28 (4), p.579-579

2004

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Optimizing operating conditions based on ANN and modified GAs

Computers & chemical engineering, 2000-04, Vol.24 (1), p.61-65

2000

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Classification of Toxicity of Amines Using Neural Networks Based on Rotate Surface Transformed Particle Swarm Optimization Algorithm

Fēnxī huàxué, 2006-03, Vol.34 (3), p.316-320

2006

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Continuous membrane dialysis using ion-exchange resin suspension for extracting metal ions

Industrial & engineering chemistry research, 1991-06, Vol.30 (6), p.1231-1239

1991

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Artificial neural networks aided deconvolving overlapped peaks in chromatograms

Journal of Chromatography A, 1996-10, Vol.749 (1), p.5-11

1996

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Quantitative structure–activity relationships study of herbicides using neural networks and different statistical methods

Chemometrics and intelligent laboratory systems, 1999-01, Vol.45 (1), p.267-276

1999

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Potential function based neural networks and its application to the classification of complex chemical patterns

Computers & chemistry, 1998-01, Vol.22 (5), p.385-391

1998

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An expert system for qualitative interpretation of wavelength-dispersive X-ray fluorescence spectra

Chemometrics and intelligent laboratory systems, 1996-02, Vol.32 (1), p.83-93

1996

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Numerical processing of wavelength-dispersive X-ray fluorescence spectra

Chemometrics and intelligent laboratory systems, 1996-02, Vol.32 (1), p.73-82

1996

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Computational Chemical Engineering Concepts

Chemie ingenieur technik, 1987-07, Vol.59 (7), p.587-590

Hu, Shangxu S.

1987

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SOM integrated with CCA for the feature map and classification of complex chemical patterns

Computers & chemistry, 2001-11, Vol.25 (6), p.597-605

2001

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Differential fraction-based kinetic model for simulating hydrodesulfurization process of petroleum fraction

Computers & chemistry, 2002, Vol.26 (2), p.141-148

2002

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Iterative deblending using unsupervised learning with double-deep neural networks

Geophysics, 2023-05, Vol.88 (3), p.V187-V205

2023

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Seismic multiple suppression based on a deep neural network method for marine data

Geophysics, 2022-08, Vol.87 (4), p.V341-V365

2022

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A pattern classification procedure integrating the multivariate statistical analysis with neural networks

Computers & chemistry, 1997, Vol.21 (2), p.109-113

1997

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Surface-related multiple attenuation based on a self-supervised deep neural network with local wavefield characteristics

Geophysics, 2023-10, Vol.88 (5), p.V387-V402

2023

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Physics-informed self-supervised learning with phase resemblance constraint for internal multiple attenuation

IEEE transactions on geoscience and remote sensing, 2024-09, p.1-1

2024

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An unsupervised learning approach to deblend seismic data from denser shot coverage surveys

Geophysical journal international, 2022-07, Vol.231 (2), p.801-816

2022

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Unsupervised Learning for Seismic Internal Multiple Suppression Based on Adaptive Virtual Events

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-13

2022

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Chaos-genetic algorithms for optimizing the operating conditions based on RBF-PLS model

Detection of outlier and a robust BP algorithm against outlier

A New Approach to Improve Particle Swarm Optimization

Combinative neural network and its applications

Novel multi-level optimization method for chemical complex using intelligent agent

Adaptive numerical morphological filter for identifying chromatographic signals

Corrigendum to “Chaos-genetic algorithms for optimizing the operation conditions based on RBF-PLS model” [Comput. Chem. Eng. 27 (2003) 1393–1404]

Optimizing operating conditions based on ANN and modified GAs

Classification of Toxicity of Amines Using Neural Networks Based on Rotate Surface Transformed Particle Swarm Optimization Algorithm

Continuous membrane dialysis using ion-exchange resin suspension for extracting metal ions

Artificial neural networks aided deconvolving overlapped peaks in chromatograms

Quantitative structure–activity relationships study of herbicides using neural networks and different statistical methods

Potential function based neural networks and its application to the classification of complex chemical patterns

An expert system for qualitative interpretation of wavelength-dispersive X-ray fluorescence spectra

Numerical processing of wavelength-dispersive X-ray fluorescence spectra

Computational Chemical Engineering Concepts

SOM integrated with CCA for the feature map and classification of complex chemical patterns

Differential fraction-based kinetic model for simulating hydrodesulfurization process of petroleum fraction

Iterative deblending using unsupervised learning with double-deep neural networks

Seismic multiple suppression based on a deep neural network method for marine data

A pattern classification procedure integrating the multivariate statistical analysis with neural networks

Surface-related multiple attenuation based on a self-supervised deep neural network with local wavefield characteristics

Physics-informed self-supervised learning with phase resemblance constraint for internal multiple attenuation

An unsupervised learning approach to deblend seismic data from denser shot coverage surveys

Unsupervised Learning for Seismic Internal Multiple Suppression Based on Adaptive Virtual Events

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