Research on Prediction of Excavation Deformation Based on Fuzzy Neural Network

Xiang Chen; Xue Feng Zhou

doi:10.4028/www.scientific.net/AMM.71-78.3992

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Radar Electronic Opposed System Simulation
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Decoupling Control of Three Phase Boost Type PWM Rectifiers Based on Storage Function
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Development of Mechanical CAD System Based on ARX
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Wind Flow Simulation of Scale Model of TTU Test Building
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Aerodynamic Shape Optimization of Shenzhen Kingkey Financial Tower
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3-D Numerical Simulation for Large-Diameter Cast-In Situ Tubular Pile
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 71-78Research on Prediction of Excavation Deformation...

Research on Prediction of Excavation Deformation Based on Fuzzy Neural Network

Abstract:

Seeing that there are a lot of uncertain and fuzzy factors in the deformation control system of excavation, in this paper, the author combined the fuzzy theory with neural network technology, adopted the ordinary non-linear structure as the fuzzy neural network of neural network structure formed of neuron directly, and it is under the degree fuzzy number which inputs and export the information to import the corresponding network. Thus according to fuzzy neural network, displacement prediction model has been set up.