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Variety selection method and variety selection device based on neural network algorithm and portfolio theory

A neural network algorithm and combination theory technology, applied in the field of variety selection based on neural network algorithm and portfolio theory, can solve the problem that the variety selection method is not suitable for the actual situation.

Inactive Publication Date: 2017-04-26
PEKING UNIV
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Problems solved by technology

[0005] The embodiment of the present invention provides a variety selection method and device based on neural network algorithm and portfolio theory, to at least solve the technical problem that the variety selection method in the related art is not practical enough

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  • Variety selection method and variety selection device based on neural network algorithm and portfolio theory
  • Variety selection method and variety selection device based on neural network algorithm and portfolio theory

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Embodiment Construction

[0023] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0024] It should be noted that the terms "first" and "second" in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence. It should be understood that the data used in this way can be interchanged under ap...

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Abstract

The invention discloses a variety selection method and a variety selection device based on a neural network algorithm and the portfolio theory. The method comprises the following steps: predicting the yield of each variety in available varieties when each variety is separately planted in a preset area under different natural conditions through a yield prediction model built based on a neural network algorithm; acquiring the constraint parameter values for the planting of the available varieties in the preset area, wherein the constraint parameter values include at least one of the following: the upper limit of the number of varieties planted in the preset area, the upper limit of proportion of each variety planted in the preset area, and the lower limit of proportion of each variety planted in the preset area; and determining the values of combined parameters of varieties planted in the preset area through an objective function, wherein the objective function is determined based on the portfolio theory, and the objective function is used to at least increase the expected yield of the preset area or at least reduce the yield variance of the preset area. The technical problem that the variety selection method in the related technology is not realistic enough is solved.

Description

Technical field [0001] The present invention relates to the field of data processing, and in particular to a method and device for variety selection based on neural network algorithms and portfolio theory. Background technique [0002] When choosing the best combination of varieties for a given piece of land, a variety selection method based on investment portfolio theory is usually used, with the goal of maximizing the expected output of the land and minimizing the variance of the output, choosing the variety to plant among the available varieties . Portfolio theory is one of the important foundations of modern finance. Its essence lies in the construction of a quadratic programming model to solve the Pareto frontier of the asset portfolio to meet the dual goals of the securities portfolio (maximizing returns and minimizing risks) , So as to provide a set of optimal investment portfolios under different risk preferences. When solving the practical problem of choosing the best ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/02G06N3/08
CPCG06Q50/02G06N3/08
Inventor 赵宇黄静思秦明侍乐媛张玺许晓云宋洁
Owner PEKING UNIV
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