Basic Of Partial Least-Squares Regression Research On Urban Economic

The modern cities, especially the large and middle cities, are the concentration of the recent industry, are the point of accumulating the economy essence and distributing the resource, are the center of accumulating and developing regions or even the whole countries'economy. The urban economy has become the prop and the pivotal important part of the national economy. Researching the development of the urban economy has become the urgent task of developing the country economy which the social has faced. Applying of partial least-squares regression in the research of the urban economy is one of domain directions in economy research.First, this article has outlined the importance of the urban economy, also has simply narrated the present situation of the urban economy research. Finally it has proposed the prime task of this article.Second, it has simply introduced principal components analysis and canonical correlation analysis. It has introduced the characteristic of partial least-squares regression in detail, which has narrated the modeling method of partial least-squares regression and the algorithm solution. It has also carried partial least-squares regression model to the precision analysis.Third, it has briefed the situation of China urban economy. After, it has simply narrated the relations between the urban economy development and the urban population.At the end, it has classified partial cities of China, and has emphasized the relevance between the investment in the fixed assets and the urban economic development. It has analyzed the data of partial urban economy development in China with partial least-squares regression, has researched the characteristics of the economic developments between the two kinds of city, as well as has simulated with the data, and has compared the experimental result in classification and time series. The experimental result indicated that different area has different economic development's character as well as relies on the different primary factors.It has carried on the summary to this article, and introduced the further work.