Chen Guifen

The implementation of parallel genetic algorithm based on MATLAB

This paper introduces the usage of MATLAB Distributed Computing Engine(MDCE). The relationship between the volume of the data transmitted and the transmission time is tested and the analysis of the data shows that there is a significant linear relationship between the two. Then we give an implemen-tation plan of the parallel genetic algorithm (PGA), and we also carried on the computation of a TSP example which shows a higher speedup and a better per-formance. All these show that the it is efficient and effective to use MATLAB to develop distributed computing application program.

Application of a spatial fuzzy clustering algorithm in precision fertilisation

Abstract In precision agriculture there exist two sorts of data—high‐dimensional space data and property data. We propose a precision fertilisation method based on a spatial fuzzy clustering algorithm and apply it to the National 863 Project “Corn Precision Task Systems Research and Application”. Our research methods include: (1) use of DGPS and GIS to obtain and to process soil spatial information and property information; (2) use of fuzzy clustering analysis to carry out systematic soil nutrient research and to develop classification models; (3) use of the 8‐adjacent connection traverse algorithm to carry out spatial clustering analysis and to apply the results to spatial clustering. This two‐stage clustering method is superior to the more traditional single‐stage clustering methods. Based on clustering results, we can make corn precision fertilisation decisions and can also make decisions relating to other precision agricultural field management issues and operations. It is shown by experiment that this method has good prospects of practical application.

A network intrusion detection method based on combined model

In order to make the detecting rate faster and improve the accuracy of network intrusion detection, this paper ameliorated a network intrusion detection method which was based on combining support vector machines and LVQ (Learning vector quantization) neural network algorithm The method combines the popularizing capability of SVM and the learning capability of LVQ neural network. It overcame the shortcomings of traditional neural network algorithm, such as the slower learning speed and the larger possibility of falling into local minimum. Examples proved that this combined model had faster speed and higher rate of accuracy. What is more, it better resolved a series of detecting problems, such as nonlinearity, small-sample, high-dimension and local minimum.

The Rule Model and Visualization Technology Application in Intelligent Decision-making System

In order to solve knowledge ambiguity, dynamic, dependence and uncertainty of agriculture production, this paper using computer modeling and visualization techniques, combined with artificial intelligence, database, intelligent information systems, decision support systems and network technology development of ginseng production intelligent decision-making system, and applied to the field of ginseng production, for the traditional ginseng cultivation has injected new vigor and vitality, the system research to improve the ginseng yield, the production efficiency, the effective use of resources, reduce production costs and environmental pollution, which has the important theory significance and application value, but also suitable for exploring the ginseng normalization, intelligence, visualization and dynamic production method provides the scientific method and basis theoretical.

Delineating soil nutrient management zones based on ID3 algorithm

Focused on the contents of organic matter, total N, available P and available K in patch data of Dehui city, Jilin Province, this paper studies on soil nutrient management zones using decision tree ID3 algorithm. By experimental analysis, we obtain six partitions and the result shows that sub-area differences in soil nutrient content are similar or less significant but differences between partitions. The method of soil nutrient management zones based on decision tree ID3 algorithm can be used to guide the variable-rate fertilization in precision agriculture, and it also provides an effective classification method for soil nutrient management zones.

Notice of Retraction C++ Teaching Guided by System Theory and Practice Theory in Philosophy

C++ is a key curriculum in computer discipline. In this paper, guided by the system theory, the teaching content of c++ is integrated. Space-time nature of a variable, controlling of a function, iteration of a loop and encapsulation of an object are described. Guided by practice theory, a teaching method is proposed, which is case driven and integrates problems coming from science research, education and ACM contest. A trinity teaching method is proposed, which unites in-class labs, curriculum design and graduation practice. The teaching practice shows that, the application of system theory and practice theory in C++ motivates the learning interest of the students and the programming skill is improved.

Research and application of maize precision intelligence spatial decision support system.

In order to solve the problem of the maze precision fertilizer,soil fertility evaluation,soil fertility classify and yield projections,the geographic information system with spatial information processing functions,spatial data mining techniques with spatial information analysis capabilities,expert system technology in the field of artificial intelligence,traditional information management systems and decision support system were effectively integrated in this study,and the statistical analysis method of GIS and data visualization were combined to design and implement the maize precise intelligent space decision-making system.This system had greatly improved the decision-making ability in agricultural production carried out by agricultural management.