Land evaluation method based on artificial neural network

Abstract

The invention discloses a land evaluation method based on artificial neural network; in the method, on the basis of a self-studying method based on actual survey samples or known knowledge, self-studying correction is carried out according to samples, so as to construct a land evaluation method of a self-studying and self-adapting neural network. According to the problem that convergence is over slow, even is diverged owning to jump functions such as non-differential excitation function in a model structure of a neural network model, genetic optimization is introduced, thereby constructing the land evaluation method based on the genetic optimization and realizing the land evaluation method of the artificial neural network based on the genetic optimization. A genetic algorithm is used for optimizing the connecting weight of the neural network and neural network structure for improving the accuracy and the practicability of the neural network model.

Description

Technical field: [0001] The invention relates to a land evaluation method based on genetically optimized neural network self-learning technology, which belongs to the field of land investigation and evaluation. Background technique [0002] Land evaluation is the basis of land use planning and an important prerequisite for rational use of land. Since the 1960s, land evaluation has been widely concerned, and its theory, technology and application have been developed rapidly. The land evaluation model is the core of land evaluation, and it has always been a hot spot in land evaluation research, and has been widely concerned at home and abroad. In general, its development has gone through a process from qualitative to quantitative, from individual to comprehensive, from mathematical statistical analysis to intelligent computing, complex geographic computing and expert systems, forming qualitative models, statistical methods, parameterized systems, expert systems, and hybrid m...

AI Technical Summary

Problems solved by technology

[0003] In view of the traditional land evaluation method, the approximation of the relationship between the participating factors and the land quality is oversimplified by the simple fitting method, and the given functional form is difficult to describe the complex relationship between the land quality and its influencing factors; the reasoning method of empirical rules The process is simple, but it is extremely sensitive to the accuracy of empirical knowledge, and inaccurate knowledge often brings defects such as results with large deviations

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