In view of the diversity and complexity of the existing travel time prediction methods, travel time is an important indicator to quantify the state of road traffic congestion. In this paper, based on the analysis of various travel time prediction methods, a network model based on the idea of BP algorithm is constructed by SPSS software, and the method of travel time prediction of urban road is studied by combining BP neural network with three indexes affecting vehicle speed. Firstly, taking Jinshui road of Zhengzhou as the research object, this paper obtains the data of three factors that affect the vehicle speed, namely, vehicle spacing, flow and density; then, it constructs the neural network model and analyzes the data with the help of SPSS; finally, the experimental results are obtained, and the analysis shows that the error between the predicted speed and the real speed is very small, the average predicted error value is 0.3, and the average error rate is 2.35%, the result has better accuracy and feasibility, which can further realize the effective prediction of the travel time of the car. The model established in this paper has better practicability for travel time prediction, and the data can be used as reference value for travel time prediction of intelligent transportation system and other systems.
The existence and persistence of soybean diseases are not conducive to the effective operation of the global soybean market. Many detection and prediction methods have been used to prevent and detect soybean diseases, but the practicability of these methods has always been a big challenge for researchers due to there are too few variables in the prediction model, which show bad prediction effect of soybean disease in complex environment. In this paper, the popular Apriori algorithm in data mining is used to analyze the common disease data of soybean in complex environment, so as to achieve the goal of early prediction and control of soybean disease. The variables used in this paper are the characteristic factors of 35 kinds of Soybean under 18 common diseases. The experimental results show that the improved Apriori algorithm can complete the better prediction of soybean diseases in complex environment, so as to reduce the impact of diseases on soybean yield, which is of great significance for economic development, agricultural production and other fields.
In this paper, Environmental Sciences, the reform of teaching methods, correspondence, through the status and characteristics of environmental science education by correspondence analysis. With the author several years to engage in adult correspondence education in reality. Of environmental science and education by correspondence teaching mode, teaching methods, teaching contents, teaching methods, teaching methods, the reform put forward some ideas and proposals. Introduction 1 Environmental Science correspondence students there is age gap, knowledge level uneven, different occupation, learning motivation of different characteristics and rules, therefore, teaching is difficult. We cannot copy the teaching mode in teaching full-time[1] , should have a suitable teaching methods in correspondence education. Course of environmental science related, content, and piecemeal, hard hard to remember, experiments, and concrete, not empty, if often method, in accordance with the requirements of the syllabus content, tend to echo what the books say, make content boring, teaching effect is poor, can not adapt to the characteristics and requirements of correspondence teaching. Therefore, the need for traditional teaching mode reform. The problem of the reform of scientific teaching methods, through the analysis of the environmental science correspondence education present situation and characteristics. The author is engaged in the adult correspondence education in recent years, put forward some ideas and suggestions on the reform of environmental science education by correspondence teaching mode, teaching form, teaching content, teaching means, teaching method, attempts to provide a little help for correspondence environmental science teaching, for outstanding students of environmental science professional correspondence provides a guidance. The change of teaching mode, select the appropriate form of teaching, pay attention to the correct guidance, grasp self-study. Correspondence education is the "self-study, face-to-face while" teaching mode. The main way to acquire knowledge of students is self-taught, learning guidance is an important link in the correspondence teaching, we should do a good job. The class teaching hours in total have 2/3 time self-study and correspondence students counseling time, but most bear family, work, learn the three heavy pressure, although it has a strong desire for knowledge and learning ability, but often can not guarantee the time and attention, so that to guarantee the teaching quality, we must change the
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