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A fishery forecast method based on ant colony classification algorithm

A classification algorithm and fishery technology, applied in the field of fishery forecast based on the ant colony classification algorithm, can solve problems such as the location of difficult fisheries, the production efficiency and catch yield of bound squid, and the backwardness, so as to reduce the time for finding fish and increase the catch yield Effect

Active Publication Date: 2018-07-24
EAST CHINA SEA FISHERIES RES INST CHINESE ACAD OF FISHERY SCI
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Problems solved by technology

However, the distribution of squid CPUE and the formation and change of its fishing grounds are greatly affected by marine environmental factors, and the distribution of fishing grounds has the characteristics of regionality and temporal and spatial variability. In traditional fishing, the methods for judging fishing grounds are relatively backward, and it is difficult to quickly Accurately determine the location of the fishing ground, which limits the production efficiency and fishing output of squid in this sea area

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  • A fishery forecast method based on ant colony classification algorithm
  • A fishery forecast method based on ant colony classification algorithm
  • A fishery forecast method based on ant colony classification algorithm

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Embodiment Construction

[0016] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0017] Embodiments of the present invention relate to a method for forecasting fishing grounds based on an ant colony classification algorithm, comprising the following steps:

[0018] (1) Training data preparation and processing methods

[0019] The time range of catch data is from 2002 to 2011, and the spatial range of the sea area is 144°E-170°E, 34°N-50°N. The data content includes date, longitude, latitude, production, nu...

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Abstract

The invention relates to a fishing ground forecasting method based on an ant colony classification algorithm, comprising the following steps: using the environmental data obtained by near real-time satellite remote sensing technology, and preprocessing the environmental data and catch data; conducting supervised monitoring of the environmental data Discretization processing; through the AntMiner method in the ant colony algorithm, a series of fishery discrimination rules are obtained after training, and the obtained fishery discrimination rules are used; real-time or on-site environmental data are substituted into the fishery discrimination rules to obtain real-time fishery forecast data and distribution diagrams.

Description

technical field [0001] The invention relates to the technical field of fishery forecasting, in particular to a fishery forecasting method based on an ant colony classification algorithm. Background technique [0002] The Northwest Pacific Ocean is an important sea area where China's ocean-going fishing vessels engage in large-scale commercial fishing, and squid is one of the main fishing targets in this sea area. According to FAO statistics, from 2006 to 2010, Japan's annual catch of squid in the North Pacific Ocean reached 0.8-74,000 tons, with an average of 36,000 tons. Since the 1990s in China, the scale of squid fishing production has been expanding. In recent years, the number of fishing vessels operating in the Northwest Pacific Ocean has reached 200 to 280, with an annual catch of 36,000 to 113,000 tons. status. North Pacific squid is usually divided into four groups, which are the central autumn group, the eastern autumn group, the western winter-spring group and t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06N3/00
Inventor 崔雪森唐峰华张衡伍玉梅戴阳
Owner EAST CHINA SEA FISHERIES RES INST CHINESE ACAD OF FISHERY SCI
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