In order to realize the accurate prediction of the total output value of construction industry in the future,the grey prediction model is used to compare the measured value with the predicted value from 2012 to 2021,a...In order to realize the accurate prediction of the total output value of construction industry in the future,the grey prediction model is used to compare the measured value with the predicted value from 2012 to 2021,and based on the existing data,the total output value of construction industry in Jiangxi Province in the next five years is predicted.The results show that the grey prediction model has a good prediction effect,and the error between the predicted value and the measured value is within 14%,which provides a basis for policy adjustment and resource optimization.展开更多
Gross agricultural product is an important indication to measure the agricultural development level of a region. It would be affected by many factors,having the characteristics of non- linearity. For this reason,LM- B...Gross agricultural product is an important indication to measure the agricultural development level of a region. It would be affected by many factors,having the characteristics of non- linearity. For this reason,LM- BP neural network was put forward as the model and method for predicting gross agricultural product. Taking the indications of the sown area of crop,the output of grain,sugarcane,cassava,tea,meat,aquatic products,turpentine and camellia seed,etc. as inputs,during 2000 to 2012 in Guangxi,the gross agricultural product data from the analysis of simulation experiment show that the prediction of LM- BP neural network fits well with actual results.展开更多
Agriculture is the basic industry of China and the support of all other industries. In order to clarify the impact of urbanization on China＇s agriculture, a cointegration test was conducted between the urbanization r...Agriculture is the basic industry of China and the support of all other industries. In order to clarify the impact of urbanization on China＇s agriculture, a cointegration test was conducted between the urbanization rate and the total agricultural output value in China during the past 30 years of 1986-2015. The results showed that the development of urbanization and agricultural economy had no severe effect on weakening the agricultural economy in China, while on the contrary, there was a long-term equilibrium relationship between the two, which was only limited to a certain range, and in the future high development of urbanization of China, the development of agricultural economy would face great challenges. Therefore, China should specify cultivated land use, strengthen the supervision standard of land circulation; increase investment in science and technology, improve the efficiency of agricultural output; optimize financial support for agriculture, enhance the enthusiasm of farmers; cultivate new agricultural operators, promote the process of agricultural industrialization, so as to form economies of scale and explore a new road of urbanization which is not at the expense of the cost of agricultural economy.展开更多
文摘In order to realize the accurate prediction of the total output value of construction industry in the future,the grey prediction model is used to compare the measured value with the predicted value from 2012 to 2021,and based on the existing data,the total output value of construction industry in Jiangxi Province in the next five years is predicted.The results show that the grey prediction model has a good prediction effect,and the error between the predicted value and the measured value is within 14%,which provides a basis for policy adjustment and resource optimization.
基金Supported by Science and Technology Research Project of Guangxi University(2013LX143)
文摘Gross agricultural product is an important indication to measure the agricultural development level of a region. It would be affected by many factors,having the characteristics of non- linearity. For this reason,LM- BP neural network was put forward as the model and method for predicting gross agricultural product. Taking the indications of the sown area of crop,the output of grain,sugarcane,cassava,tea,meat,aquatic products,turpentine and camellia seed,etc. as inputs,during 2000 to 2012 in Guangxi,the gross agricultural product data from the analysis of simulation experiment show that the prediction of LM- BP neural network fits well with actual results.
文摘Agriculture is the basic industry of China and the support of all other industries. In order to clarify the impact of urbanization on China＇s agriculture, a cointegration test was conducted between the urbanization rate and the total agricultural output value in China during the past 30 years of 1986-2015. The results showed that the development of urbanization and agricultural economy had no severe effect on weakening the agricultural economy in China, while on the contrary, there was a long-term equilibrium relationship between the two, which was only limited to a certain range, and in the future high development of urbanization of China, the development of agricultural economy would face great challenges. Therefore, China should specify cultivated land use, strengthen the supervision standard of land circulation; increase investment in science and technology, improve the efficiency of agricultural output; optimize financial support for agriculture, enhance the enthusiasm of farmers; cultivate new agricultural operators, promote the process of agricultural industrialization, so as to form economies of scale and explore a new road of urbanization which is not at the expense of the cost of agricultural economy.
