Neural Network In The Yangtze River Delta Agricultural Information Website Evaluation Research

Agriculture is the basic industry of national economy, agricultural development is a prerequisite of economic and social development, and agricultural information is the key factor in agricultural development, agricultural information website is the main content of agricultural information and important part of agricultural information, agricultural information website plays an important role in the development of agriculture in increasing, can be said that the development of modern agriculture, largely dependent on the information resources of agricultural information websites, from agricultural production, circulation and market all aspects of agricultural production provide farmers with agricultural information service platform, the platform includes technology, market information and agricultural policies, these are necessary for modern agriculture. Agriculture Information website provides information services for the agricultural good platform, through this platform, will be to promote the development of agricultural modernization. Current agricultural information website is under construction there different standards, different levels, repetitive, these problems appear to make agricultural information website evaluation was in importance.Evaluation of agricultural information websites is the information on the existing site evaluation of agricultural, reflected from different angles, whether the agricultural information website to meet the current agricultural production and agricultural development needs, obtained more objectively existing results of the evaluation of agricultural information websites, what made the need to improve the content and requirements, service for the current agricultural development. For the current site evaluation of methods, such as analytic hierarchy process and fuzzy comprehensive evaluation method, proposed the use of artificial neural network is the tool of one kind of site means of trying some innovations in evaluation methodology, make the site more objective evaluation methods effective and, to some extent make up for the deficiencies of traditional methods, from different sides and different point of view objectively reflect the actual level of the site. Only an objective and reasonable results are obtained in order to make the site better for agricultural services, promote a higher level of agricultural information, services Agriculture, New planning framework for achieving this goal, good for building new socialist rural areas of information security and information services.From the last century 80's, began to apply artificial neural network technology in multidisciplinary field of artificial neural network algorithm has also been further developed, while experts in various disciplines of artificial neural network algorithm and the discipline of combining scientific research, including the fields of biology, pathology, psychology, mathematical sciences, computer science and electronics and information science, artificial neural networks in these areas to a large extent, promoted the development of various fields. Artificial neural networks are also applied to the evaluation of information resources, can promote the development of information resources evaluation, proposed evaluation method and evaluation of different models and the evaluation process. Evaluation because of the development of information resources, to better economic and social development for the good service, information resources, Results of the evaluation can provide economic and social development of reference.Current agricultural information websites for a variety of different evaluation methods, a variety of evaluation methods of evaluation results obtained by different evaluation methods have various shortcomings, do not reflect the current level of development of agricultural information websites, in order to more objectively reasonable Assessment of agricultural information websites, this attempt to use artificial neural network parallel processing of data itself, a good fault-tolerant, adaptive and self-learning and better features for nonlinear functions, the analysis of agricultural information websites, build artificial neural networks model of agricultural information website evaluation to improve it.This paper studies are:1. Overview of the purpose of agricultural information website evaluation, evaluation of the principle of indicators to establish the principles and methods for establishing a scientific and reasonable evaluation index system and evaluation method to establish a theoretical basis, collation and analysis of the BP neural network algorithm for the basic theory and the corresponding and described in detail the use of BP neural network toolbox approach, using neural network toolbox described the establishment of agricultural information websites, and detailed process of evaluation steps, including data acquisition and pre-assessment model.2. Describes the neural network of agricultural information website evaluation to improve the principles and ideas, and to BP neural network model based on the establishment of agricultural information website evaluation model; and based on the evaluation of the characteristics and needs, to establish the corresponding index of agricultural information website evaluation system, through the evaluation index system on the intensive study and detailed description of the index system of rating methods and rating rules, the last of the Yangtze River Delta agricultural information website evaluation model for network learning and network evaluation, with a result.3. Briefly described in this paper the process of innovation and the problems encountered while on the BP neural network analysis of evaluation results, elaborated the inadequacies of the study, suggestions for improvement, and future work of the prospects for the next person who conducted the study to provide valuable advice and basis.