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Artificial aquaculture growth prediction method and system based on mapreduce and bp neural network

A BP neural network and prediction method technology, applied in the field of artificial aquaculture growth prediction, can solve the problems of affecting the operation efficiency of the algorithm, high computational overhead, slow convergence speed, etc., to speed up the convergence speed, improve the prediction accuracy, and the fitting effect. Good results

Active Publication Date: 2022-05-24
TIANJIN AGRICULTURE COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although these advantages make it widely used in various fields, its own shortcomings are gradually exposed.
The BP neural network algorithm has high computational overhead during training, which makes its learning efficiency low and the convergence speed slow. This problem is especially obvious when dealing with large-capacity data sets, which seriously affects the operating efficiency of the algorithm.

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  • Artificial aquaculture growth prediction method and system based on mapreduce and bp neural network
  • Artificial aquaculture growth prediction method and system based on mapreduce and bp neural network
  • Artificial aquaculture growth prediction method and system based on mapreduce and bp neural network

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Embodiment Construction

[0032] The following will be combined with the drawings in the embodiment of the present application, the technical solution in the embodiment of the present application is clearly and completely described, it is clear that the embodiment described is only a part of the embodiment of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without doing creative labor, are within the scope of protection of the present application.

[0033] Further, in an exemplary embodiment, because the same reference tag represents the same structure of the same component or the same step of the same method, if exemplary embodiment is described, then only the structure or method described different from the described embodiment in other exemplary embodiments.

[0034] Throughout the specification and claims, when a part is described as "connected" to another part, the part may be "direc...

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Abstract

This application provides a method and system for predicting the growth of artificial aquaculture aquatic products based on MapReduce and BP neural network. The model constructed by BP neural network integrated with MapReduce algorithm is used to predict the growth of artificial aquaculture, which can be generally applied to a large number of data samples, with good fitting effect and improved prediction accuracy.

Description

Technical field [0001] The present invention relates to the field of neural network technology, specifically to a method and system for predicting the long generation of artificial aquaculture water based on MapReduce and BP neural networks. Background [0002] At present, intensive and high-density breeding methods are mostly used to improve aquaculture yield and efficiency, and online water quality parameter detection technology, automatic bait control technology and some water quality parameter automatic regulation technology are adopted in intensive aquaculture systems. However, there are problems such as the occurrence of diseases from time to time and the difficulty of management, and the demand for refined management is becoming increasingly urgent. The growth and development of aquatic products is a key factor affecting their yield, so it is necessary to use advanced technologies such as neural networks to establish a growth model of aquatic products, reveal the growth an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/02G06N3/04G06N3/08
CPCG06Q10/04G06Q50/02G06N3/084G06N3/044
Inventor 田云臣侯嘉康
Owner TIANJIN AGRICULTURE COLLEGE