Prediction Method of Main Parameters in Internal Mixer Based on Chaotic Neural Network

Su Zhen Huang; Chuan Sheng Wang

doi:10.4028/www.scientific.net/KEM.501.398

Paper Titles

Numerical Study on Enhanced Paraffin/Air Heat Transfer with Extended Surface
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Numerical Simulation of Tire Steady-State Temperature Field Based on ANSYS Workbench
p.382

FEM Comparative Analysis of Synchronous Rotor with Different Helix Angle in the Process of Mixing
p.388

Analysis of the Impact of Unloaded Radius of Tire on the Handling and Stability of Automobile on the Basis of ADAMS/CAR
p.393

Prediction Method of Main Parameters in Internal Mixer Based on Chaotic Neural Network
p.398

Study on Conductive Properties of Composites Based on the In-Mold Laminating Technology
p.402

Surface Tension Measurement by the Drop Volume Method
p.407

Numerical Simulation and Experimental Verification of Butterfly Porous Fences
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Finite Element Analysis of Turning Tire Active Mold Segment Using DEFORM-3D
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 501Prediction Method of Main Parameters in Internal...

Prediction Method of Main Parameters in Internal Mixer Based on Chaotic Neural Network

Abstract:

The chaotic mixing prediction model was established based on RBF neural network and the chaotic mixing process of internal mixing. Training process indicates the method has powerful approaching ability, classing ability and convergence. Actual experiment results verified validity and veracity of this method.

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Periodical:

Key Engineering Materials (Volume 501)

Pages:

398-401

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.501.398

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Online since:

January 2012

Authors:

Su Zhen Huang, Chuan Sheng Wang

Keywords:

Chaotic Mixing, Internal Mixer, RBF Neural Network

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References

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