Research of Genetic Algorithm Controller Based Fuzzy Neural Network in Vacuum Pre-Cooling Freshness-Keeping Machine

Ke Liang Zhou; Qiong Tan; Jian He

doi:10.4028/www.scientific.net/AMR.926-930.3545

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Refinement Analysis for Time-Frequency Characteristic of Blasting Seismic Exploration Signals
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Research of Genetic Algorithm Controller Based Fuzzy Neural Network in Vacuum Pre-Cooling Freshness-Keeping Machine
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Securely Compressive Sensing Using Double Random Phase Encoding
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Skin Color Protection Based on Wide Gamut Display
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Moving Object Detection Based on Bionic Compound Eye
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Research of Genetic Algorithm Controller Based...

Research of Genetic Algorithm Controller Based Fuzzy Neural Network in Vacuum Pre-Cooling Freshness-Keeping Machine

Abstract:

The control object is the temperature of pre-cooling machine, combined the advantage of neural network and genetic algorithm (GA). Adopting GA controller based fuzzy neural network. The controller doing the fuzzy reasoning to the difference of given temperature and sample temperature. GA does the offline training to the Connection weights and Membership function of fuzzy neural network, then uses BP algorithm to do further adjust online for parameters. Simulation result shows that the new controller achieves better control effect compared with traditional PID controller, fuzzy controller.