Optimal algorithm as well as method for optimizing production process of medicinal pearl nucleus
A technology for optimizing algorithms and production processes, applied in neural learning methods, calculations, data processing applications, etc., can solve problems such as network model redundancy, algorithms falling into local extremum, and algorithm convergence speed, etc., to achieve the goal of improving the quality of pearls Effect
Active Publication Date: 2018-09-21
ZHEJIANG CHINESE MEDICAL UNIVERSITY
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However, the BP neural network model also has some limitations, such as slow convergence speed of the algorithm, redundancy of the network model, algorithm falling into local extremum, etc.
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[0028] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0029] See figure 1 , the optimization algorithm in a preferred embodiment of the present invention comprises the following steps:
[0030] Experiment: Determine the number of factors required for the experiment, and use the orthogonal experiment method to obtain the orthogonal experimental data;
[0031] Modeling: adopt BP neural network to model, set the number of factor nodes and the number of target nodes, and carry out cross-validation on the orthogonal experimental data to train the neurons of the BP neural network; the neurons include a hidden layer Neurons, the fitting error data and prediction error data are used as the basis for selecting hidden layer neurons, ...
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The invention relates to an optimal algorithm as well as a method for optimizing a production process of a medicinal pearl nucleus. The optimal algorithm comprises the following steps: (1) performingan experiment: determining factor number needed by the experiment and acquiring orthogonal experimental data according to an orthogonal experimental method; (2) modeling: modeling by a BP neural network, setting factor node number and target node number and performing cross validation on the orthogonal experimental data to perform neuron training on the BP neural network; (3) optimizing: performing target optimization on the target node number by combining a real number coding program of R language and by using a genetic algorithm as well as marking. The bacteriostatic effect of the medicinalpearl nucleus is tested by combining the method for optimizing the production process of the medicinal pearl nucleus with the optimal algorithm, so that the bacteriostatic effect under the optimal condition is found and high-quality pearls are produced. The optimal algorithm provided by the invention provides a stable and reliable model for seeking of the optimal result, and is simple in step andconvenient to operate.
Description
technical field [0001] The invention relates to an optimization algorithm and a method for optimizing the production process of medicinal bead cores. Background technique [0002] Freshwater pearl cultivation is mainly to implant the mantle cell sheet into the connective tissue of the mussel mantle to cultivate seedless pearls. The pearl cultivation cycle is as long as 5 years, and the pearl particles cultivated are small and the round rate is low (5%) , most of which are irregular in shape and have low economic value. my country is a big producer of freshwater pearls, and its output accounts for 95% of the world's output. Among them, Zhuji City, Zhejiang Province is the largest base for freshwater pearl cultivation, processing and sales in my country, and its total output accounts for more than half of the country's total output. "Hometown of Pearls", but the sales volume is only 380 million US dollars, accounting for only 8% of the world's total pearl sales of 4.5 billion ...
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IPC IPC(8): G06Q10/04G06N3/08
CPCG06N3/084G06Q10/04
Inventor詹毅金伟锋
OwnerZHEJIANG CHINESE MEDICAL UNIVERSITY