Quality Prediction in Complex Batch Processes with Just-in-Time Learning Model Based on Non-Gaussian Dissimilarity Measure

Author:

Zhang Xinmin1,Li Yuan1,Kano Manabu2

Affiliation:

1. Information Engineering School, Shenyang University of Chemical Technology, ShenYang 110142, P. R. China

2. Department of Systems Science, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501, Japan

Funder

National Science Foundation

U.S. Department of Health and Human Services

Agency for Defense Development

Villum Fonden

U.S. Department of Defense

U.S. Department of the Interior

U.S. Department of Energy

University of Connecticut

National Natural Science Foundation of China

Program for New Century Excellent Talents in University

Agence Nationale de la Recherche

Ministry of Education, Culture, Sports, Science, and Technology

Ministry of Education of the People's Republic of China

Ministry of Education - Singapore

National Research Foundation of Korea

Dalian Institute of Chemical Physics

European Cooperation in Science and Technology

China Scholarship Council

Ministry of Land and Resources of the People's Republic of China

Seventh Framework Programme

Ministerio de Economia y Competitividad

Innovation Fund Denmark

The National Basic Research Program of China

Liaoning Province Key Laboratory Foundation

Beta Cat Pharmaceuticals LLC

Ministarstvo Prosvete, Nauke i Tehnoloskog Razvoja, Republika Srbija

Technology Agency of the Czech Republic

AKTION

Fundamental Research Funds for the Central Universities

New Century Excellent Talent Program of MOE

CEITEC Central European Institute of Technology

Ministerio de Ciencia e Innovacion

European Regional Development Fund

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

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