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Eco-hydrology regionalization plays an important role in releasing contradiction between water resources development and ecological environment protection. Based on the theory of self-organizing feature map (SOFM) artificial neural network, an eco-hydrology regionalization model is developed. In the model, several integrated indexes, which contain most original information, are extracted from a large...
In this paper, a new classification method of tongue fur image based on self-organizing map is presented. The method firstly designed a template to help automatically extract the image feature region of tongue fur, then extracted the color characteristics of the feature region using L*a*b* color model. Finally the training of a self-organizing feature map neural network was implemented for the automatic...
Software project development is a risky process with high failure rate. This paper proposes an intelligent model that can predict and control software development risks from an overall project perspective rather than focusing only on the single factor, project output. In this study, we first constructed a formal model for risk identification, and then collected actual cases from software development...
A new anti-dumping early-warning system for the export of China's products is presented, which is based on entropy weight method and SOM neutral network. It is different from traditional modeling methods. We can acquire the indexpsila weight by entropy method, and then, the indexes in which the weight are decided are used to develop classification rules and train SOM nerve network. The result of the...
To study information fusion method under complex environment, a highly intelligent information fusion model is put forward- the NFE model. This model is an organic combination of neural network, fuzzy reasoning and expert system. Considering various factors which influence the performance of sensor, the NFE confidence estimator is presented from the engineering application point of view. This paper...
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