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Granulator formula generation method based on neural network system

A neural network and granulator technology, which is applied in neural learning methods, biological neural network models, and devices that make medicines into special physical or ingestible forms, can solve problems such as there is no formula generation method for granulators, Achieve the effect of improving science and accuracy, improving product performance and production efficiency

Active Publication Date: 2011-09-14
ZHEJIANG CANAAN TECH
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Problems solved by technology

After searching the literature of the prior art, it is found that there is no patent literature on the formula generation method of the granulator

Method used

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  • Granulator formula generation method based on neural network system
  • Granulator formula generation method based on neural network system
  • Granulator formula generation method based on neural network system

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Embodiment Construction

[0031] The specific embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0032] The invention describes a method for generating a granulator formula based on a neural network system, which can automatically generate the production formula of the granulator according to the parameters of raw materials.

[0033] The following combination figure 1 with image 3 A method for generating a granulator formula based on a neural network system in the present invention is described, and the method includes the following steps.

[0034] Step 1 The neural network system collects training samples for the BP neural network of the granulator.

[0035] Step 1.1 Realistic granulator simulation run.

[0036] Step 1.2 Set the raw material parameters for pellet mill operation.

[0037] Step 1.3 According to the operation process of the granulator and its fluidized bed control system, the system gives formula parameters corresponding to...

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Abstract

The invention provides a granulator formula generation method based on a neural network system, comprising the following steps: 1. collecting the training sample of a neural network; 2. stimulating and training the neural network, and determining the weight and the threshold value of the neural network; and 3. generating a production formula by automatically adopting raw material parameters by the neural network. With the granulator formula generation method, the production formula of the granulator is set according to the neural network technology, the production formula output amount controlling the granulator to operate is automatically generated by the raw material parameter, the production formula does not need to be set by experienced formula engineers according to experiences, product performance and production efficiency are improved, and scientificity and accuracy for setting the formula are simultaneously improved.

Description

technical field [0001] The invention relates to an automatic production control technology, in particular to a method for generating a formula for a granulator based on a neural network system. Background technique [0002] Currently, the formulation of the granulation process has a significant impact on the performance of pharmaceutical products. Usually the formula basically depends on the experiment and the experience of the workers to obtain, which makes the design of the pharmaceutical process have a lot of blindness. Therefore, using an effective model to automatically obtain formula parameters can not only improve product performance, but also improve production efficiency. Due to the complex nonlinear relationship between the granulation process formula and various parameters in the pharmaceutical process, most cases can only be explored by long-term experiments, which are felt by workers, lack of scientificity and accuracy, and the cycle of experience mastering is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08A61J3/06
Inventor 方正谢楠
Owner ZHEJIANG CANAAN TECH
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