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The Application of Artificial Neural Network in the Classification of Common Woven Fabrics Hongbin Jin Shanghai Customs College.

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Presentation on theme: "The Application of Artificial Neural Network in the Classification of Common Woven Fabrics Hongbin Jin Shanghai Customs College."— Presentation transcript:

1 The Application of Artificial Neural Network in the Classification of Common Woven Fabrics Hongbin Jin Shanghai Customs College

2 2 Commodity Classification b Fundamental work b Mainly performed by people Time-consumingTime-consuming Easy to make mistakesEasy to make mistakes b Objective: predict the classification of common woven fabrics using Artificial Neural Network (ANN)

3 3 What is ANN b b An ANN is a mathematical model based on biological neural networks. b b An ANN is characterized by three things: 1. 1.ArchitectureArchitecture 2. 2.Activation functionActivation function 3. 3.Learning algorithm: Back-Propagation (BP)

4 4 A typical ANN architecture

5 5 Artificial Neuron Stimulus Response

6 6 Activation function

7 7 Methods Woven fabric, weighing 150g/m 2, consisting of 60% cotton and 40% staple fibers of polyester 5210 x1 (Dominant fiber): cotton x2 (Content): 60% x3 (Secondary fiber): polyester x4 (Weight): 150g/m 2 y1 (Chapter): 52 y2 (Order): 10

8 8 ANN architectures used b One-hidden-layer containing 18 neurons b Two-hidden-layer containing 8+8 neurons b Two-hidden-layer containing 14+8 neurons

9 9 Results and discussion

10 10 Prediction results Neural networkOutputs Predictions One-hidden- layer (18) y1y y2y Heading Two-hidden- layer (8+8) y1y y2y Heading Two-hidden- layer (14+8) y1y y2y Heading Target outputs

11 11 Thanks for your attention!


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