Polyester spinning process control method based on local plasticity echo state network

A technology of echo state network and polyester spinning, which is applied in the direction of total factory control, total factory control, program control, etc., and can solve problems such as limitations

Inactive Publication Date: 2018-08-10
浙江天悟智能技术有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current system optimization of neural plasticity in the field of machine learning is still limited to global optimization under a single plasticity rule, such as STDP rule, Oja rule or Anti-Oja rule, etc., and related research on system optimization through local plasticity rules is still limited to field of neuroscience

Method used

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  • Polyester spinning process control method based on local plasticity echo state network
  • Polyester spinning process control method based on local plasticity echo state network
  • Polyester spinning process control method based on local plasticity echo state network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0118] A polyester spinning process control method based on a local plastic echo state network, which operates according to the aforementioned steps:

[0119] Initial step size δ (0) is 3*10-6 and the initial mean value of the learning rate parameter m (0) is set to 10-5, the population size is set to 20, and the number of neurons in the reserve pool is set to 300, therefore, the dimension of each individual in the population is 300 dimensions, that is, 300 learning rates, local plasticity The echo state network Ⅰ mainly includes the number of neurons and initial weights of each layer, the sparsity of the reserve pool and the spectral radius. Among them, the number of neurons in the input layer is set to 15, and the number of neurons in the output layer is set to 1. The time is a single-step prediction. The initial weight between the input layer and the reserve pool is randomly generated through a standard normal distribution and scaled by 0.05 times. The initial weight betwe...

Embodiment 2

[0122] A polyester spinning process control method based on a local plastic echo state network, the basic steps are the same as in Example 1, the difference is that the plasticity rule constructed in step (2) is a local Oja rule, wherein the blowing temperature is at the local level of the construction. The optimization process of the initial local plastic echo state network model under the Oja rule is as follows: Figure 5 As shown, after 50 generations of evolutionary optimization, the ESN optimized by local Oja plasticity has a lower prediction error than the ESN optimized by global Oja plasticity, which verifies the effectiveness of local Oja plasticity.

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Abstract

The invention relates to a polyester spinning process control method based on a local plasticity echo state network. The method comprises steps that the polyester spinning process parameter data at the t+1 time in the production process is collected and used as the input u(t+1) of the network; the local plasticity echo state network input layer is used to realize the input of the polyester spinning process parameter data u(t+1) at the t+1 time, and the predicted value of the next moment is calculated through the reserve pool state equation and the output layer state equation of the local plasticity echo state network; and according to the predicted value, the polyester spinning process parameters are adjusted. The local plasticity echo state network refers to a plasticity echo state network in which different neurons in the reserve pool are locally optimized through different plasticity rules. The method of the invention can further improve the prediction precision of the production process parameters, so that the prediction result is enabled to better guide the polyester fiber spinning process, and finally the output performance and quality of the precursor fiber can be improved.

Description

technical field [0001] The invention belongs to the field of artificial intelligence spinning, and relates to a polyester spinning process control method based on a local plastic echo state network. Background technique [0002] Polyester fiber (Polyester Fiber, commonly known as polyester) has become the most representative variety in the field of synthetic fibers due to its good ductility and good wrinkle resistance, and is widely used in clothing and infrastructure and other fields. As the largest producer of polyester fiber, my country has an annual output of more than 30 million tons of polyester fiber, accounting for more than 70% of the world's total polyester fiber production, and the market demand continues to grow year by year. [0003] Melt spinning is currently a common method for polyester fiber production. Due to the complex process and numerous links in the production and preparation of polyester fibers, it is relatively difficult to predict the spinning proce...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/02
Inventor 金耀初王新杰郝矿荣
Owner 浙江天悟智能技术有限公司
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