Toward a Quantitative Model and Prediction of the Cloud Point of Normal Nonionic Surfactants and Novel Gemini Surfactants with Heuristic Method and Gaussian Process

Journal of Dispersion Science and Technology

Volumn 33, Issue 10, 2012, Pages 1401-1410

  Guo, Chunwei ^a   Ren, Yanrong ^b   Zhou, Peng ^a   Shao, Jin ^c   Yang, Xinchang ^c   Shang, Zhicai ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b CHONGQING UNIVERSITY OF EDUCATION   (China)

^c Sino light Chemicals Co Ltd   (China)

Author keywords

Cloud point; cloud point extraction; Gaussian process; gemini surfactant; nonionic surfactant

Indexed keywords

CLOUD POINT EXTRACTIONS; CLOUD POINTS; COEFFICIENT OF DETERMINATION; DESCRIPTORS; ENVIRONMENTAL RISKS; EXPERIMENTAL ANALYSIS; GAUSSIAN PROCESS; GAUSSIAN PROCESSES; GEMINI SURFACTANT; HEURISTIC STRATEGY; HYDROPHILIC DOMAINS; MOMENTS OF INERTIA; QUANTITATIVE MODELS; REGRESSION TECHNIQUES; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; STATISTIC MODEL; STATISTICAL MODELING; STRUCTURAL PROFILES; SYSTEMATIC STUDY; TEST SETS; TOPOLOGICAL STRUCTURE; VARIABLE SELECTION; VARIABLE SELECTION METHODS;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); HYDROPHILICITY; NONIONIC SURFACTANTS; STATISTICAL METHODS; TOPOLOGY;

HEURISTIC METHODS;

EID: 84867216029     PISSN: 01932691     EISSN: 15322351     Source Type: Journal    
DOI: 10.1080/01932691.2011.620873     Document Type: Article

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