Neural-network-driven fuzzy reasoning of dependency relationships among product development processes

Concurrent Engineering Research and Applications

Volumn 16, Issue 3, 2008, Pages 213-219

  Huang, Hong Zhong ^a   Gu, Ying Kui ^a,b   Li, Yong Hua ^c  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b JIANGXI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c DALIAN JIAOTONG UNIVERSITY   (China)

Author keywords

Fuzzy logic; Fuzzy reasoning; Neural network; Process programming; Product development

Indexed keywords

CHLORINE COMPOUNDS; DATA VISUALIZATION; DYNAMIC RESPONSE; EDUCATION; FEEDFORWARD NEURAL NETWORKS; FUZZY LOGIC; LEARNING ALGORITHMS; LEARNING SYSTEMS; MECHANISMS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; PROJECT MANAGEMENT;

DYNAMIC DEVELOPMENTS; FAST RESPONSE; FEED FORWARD; FUZZY EVALUATIONS; FUZZY REASONING; GRADIENT-DESCENT; HYBRID LEARNING ALGORITHMS; INTERRELATED DEPENDENCY RELATIONSHIPS; LEARNING PROCEDURES; NEURAL NETWORK; NEURAL-NETWORK-DRIVEN FUZZY REASONING MECHANISM; PROCESS IMPROVEMENTS; PROCESS PROGRAMMING; PRODUCT DEVELOPMENT PROCESS; PRODUCT DEVELOPMENT PROCESSES; QUANTITATIVE INFORMATION; REASONING EFFICIENCY; REASONING MECHANISM;

PRODUCT DEVELOPMENT;

EID: 52949102194     PISSN: 1063293X     EISSN: 15312003     Source Type: Journal    
DOI: 10.1177/1063293X08096176     Document Type: Article

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