The Applications of GA-BP Neural Networks in Option Direction for Catalytic Agent

Lai Jiang

doi:10.4028/www.scientific.net/AMM.510.45

Paper Titles

Design and Synthesis of a Novel Mesoporous Composite and its Performance as the Support for the Catalyst
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First Principles Study on Structural and Electronic Properties of LiFeSO₄OH Cathode Material for Lithium Ion Batteries
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Analysis of Nonlinear Dynamics and Bifurcations for a Rectangular Symmetric Cross-Ply Laminated Composite Plate with a Parametric Excitation
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The Applications of GA-BP Neural Networks in Option Direction for Catalytic Agent
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Status and Trends of Low Carbon Activities of Construction Materials in Korea
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Establishment of Structural and Elastic Properties of Titanate Compounds Based on Pb, Sn and Ge by First-Principles Calculation
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Oxygen-Plasma Treated Graphene Nanoplatelet/Multi-Walled Carbon Nanotube/Polycarbonate Hybrid Nanocomposites for Anti-Electrostatic Discharge Applications: Preparation and Properties
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 510The Applications of GA-BP Neural Networks in...

The Applications of GA-BP Neural Networks in Option Direction for Catalytic Agent

Abstract:

Although the application of the BP neural network can assist researching on catalytic agent and methods of synthesizing material, but because of slow convergence, in some cases, it can not work efficiently. The paper presents a design method for the application of GA-BP Neutral Network in optimum direction for catalytic agent and material. The simulation result shows that the application of the GA-BP neural network can improve the accuracy and versatility of the catalyst compounding.

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Periodical:

Applied Mechanics and Materials (Volume 510)

Pages:

45-50

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.510.45

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Online since:

February 2014

Authors:

Lai Jiang

Keywords:

Catalyst, Genetic Algorithm (GA), Neutral Network

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