Application of the Back Propagation Neural Network Model on the Supplier Evaluation in E-Manufacturing Environment

Jian Chen; Ming Hong Wu; Ilias Oraifige

doi:10.4028/www.scientific.net/AMM.16-19.174

Paper Titles

Design System Development of Tool Magazine for CNC Machine Tools
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Research on Vibration and Instability of the Double-Span Beam Base on Transfer Matrix
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A Dynamic Group Service Recommender System in Migrating Workflows
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Security Solution of Mobile E-Commerce Based on WAP
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Application of the Back Propagation Neural Network Model on the Supplier Evaluation in E-Manufacturing Environment
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Car Seat Backrest Static Strength Experiment and Simulation
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Multi-Agent Approach for E-Commerce Negotiation
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Study a Fuzzy Inference System on the Supplier Evaluation in E-Manufacturing
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An Engine Dynamic Signal Testing System Based on Virtual Instrument Technology
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 16-19Application of the Back Propagation Neural Network...

Application of the Back Propagation Neural Network Model on the Supplier Evaluation in E-Manufacturing Environment

Abstract:

The supplier evaluation is a key section of the intelligent internet supplier selection & evaluation system. The model used for supplier evaluation is Back Propagation Neural Network model which is introduced in the paper. The paper started with the brief introduction of the intelligent internet supplier selection & evaluation system. It provides a outline of the research project and then it concentrated to introduce the application of the BP NN model for supplier evaluation. The application introduced in the paper will include the design of the BP NN model, Training of the BP NN model and test results.