Artificial neural network modeling and genetic algorithm based medium optimization for the improved production of marine biosurfactant

Bioresource Technology

Volumn 101, Issue 8, 2010, Pages 2884-2887

  Sivapathasekaran, C ^a   Mukherjee, Soumen ^a   Ray, Arja ^a   Gupta, Ashish ^a   Sen, Ramkrishna ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Design expert; Genetic algorithm; Neural network modeling; Single factor at a time

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELING; ARTIFICIAL NEURAL NETWORK MODELS; BIO SURFACTANT; BIOSURFACTANT PRODUCTION; CONCENTRATION OF; CRITICAL ELEMENTS; CRITICAL MEDIUM COMPONENTS; DESIGN EXPERT; INDEPENDENT VARIABLES; MEDIUM OPTIMIZATION; MODEL PREDICTION; MODELING AND OPTIMIZATION; NEURAL NETWORK MODELING; NON-LINEAR MODEL; OPTIMIZATION PROCEDURES; PROCESS OUTPUT; STATISTICAL EXPERIMENTAL DESIGN; TIME OPTIMIZATION;

BIOMOLECULES; GENETIC ALGORITHMS; GLUCOSE; MATLAB; OPTIMIZATION; SURFACE ACTIVE AGENTS; UREA;

NEURAL NETWORKS;

BIOSURFACTANT; GLUCOSE; MAGNESIUM SULFATE; STRONTIUM CHLORIDE; UREA;

ARTIFICIAL NEURAL NETWORK; CONCENTRATION (COMPOSITION); EXPERIMENTAL DESIGN; GENETIC ALGORITHM; GLUCOSE; NONLINEARITY; NUMERICAL MODEL; OPTIMIZATION; SURFACTANT; UREA;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACILLUS CIRCULANS; COMPUTER PREDICTION; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; GENETIC ALGORITHM; MARINE BACTERIUM; NONHUMAN; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROCESS OPTIMIZATION;

ALGORITHMS; BACILLUS; BIOTECHNOLOGY; GLUCOSE; MAGNESIUM SULFATE; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); STRONTIUM; SURFACE-ACTIVE AGENTS; UREA;

EID: 73749086706     PISSN: 09608524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biortech.2009.09.093     Document Type: Article

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