Melt index prediction based on adaptive particle swarm optimization algorithm-optimized radial basis function neural networks

Chemical Engineering and Technology

Volumn 33, Issue 11, 2010, Pages 1909-1916

  Zhao, C ^a   Liu, X ^a   Ding, F ^b  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

^b JIANGNAN UNIVERSITY   (China)

Author keywords

Adaptive melt index prediction; Particle swarm optimization; Polypropylene; Radial basis function network

Indexed keywords

ADAPTIVE PARTICLE SWARM OPTIMIZATION ALGORITHM; ADAPTIVE PARTICLE SWARM OPTIMIZATIONS; ADAPTIVE PSO; BEHAVIOR-BASED; CONVERGENCE SPEED; GRADIENT DESCENT ALGORITHMS; HIGH-PRECISION; HISTORICAL DATA; INPUT VARIABLES; MELT INDEX; NONLINEAR CHARACTERISTICS; ONLINE METHODS; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION ALGORITHM; PREDICTIVE NEURAL NETWORK; PRINCIPLE COMPONENT ANALYSIS; PROCESS VARIABLES; PROPYLENE POLYMERIZATION; PSO ALGORITHMS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS;

ALGORITHMS; ATTITUDE CONTROL; CONVERGENCE OF NUMERICAL METHODS; FEATURE EXTRACTION; FORECASTING; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); POLYMERIZATION; PRINCIPAL COMPONENT ANALYSIS; PROPYLENE; QUALITY CONTROL; REAL VARIABLES; THERMOPLASTICS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 77958593603     PISSN: 09307516     EISSN: 15214125     Source Type: Journal    
DOI: 10.1002/ceat.201000218     Document Type: Article

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