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In order to select the better wine grape varieties, and improve wine quality evaluation standards, the paper made a cluster analysis of wine grape samples based on the selected 57 physicochemical indexes. It's also classified different categories of wine grape after comparing the results of the wine quality evaluation. SPSS for canonical correlation analysis was used to find typical indicators, which...
A strong classifier model oriented to the financial risk warning of listed company has played an important role in the risk analysis of enterprise finance. Based on the BP_Adaboost composed of BP neural network and Adaboost algorithm, a strong classifier model of enterprise finance is designed and established, and is verified with the actual data. In the first, the evaluation index has the largest...
For the reason of the complexity of software projects and the uncertainty of software risk factors, it is difficult to use a mathematical expression to represent the model of risk assessment. It belongs to the classification of nonlinear. In this paper, we established the evaluation model of software project risk based on BP neural network. Firstly, an evaluation index system of software project risk...
This paper uses the BP neural network forecast model based on principal component analysis to predict China's railways freight. It firstly regroups indexes affecting railways freight by principal component analysis as to make the dimensions of index reduced and unrelated, and then it makes use of BP neural network to built model, and predicts the railways freight. The forecast result indicates that...
Comprehensive evaluation is the base of modern management and the tool of evaluating research object, and it is now widely used. Methods of evaluation decide the evaluation result. There are a few of methods which can be divided to two kinds: subjective methods and objective methods, these two kinds have their advantages and defects. In this paper, we proposed a method based on Principle Component...
The price of agricultural products are affected by many factors, and the relationship between independent variables and dependent variables can not use specific mathematical formula to express. The traditional prediction methods emphasized on the linear relationship between the prices, and the limitation is apparent, which lead to the low prediction precision. This paper proposes an improved BP neural...
According to the status quo of integrated support ability evaluation for meteorological equipment, index system of equipment integrated support ability evaluation for meteorological station is established. Using BP neural network method, equipment support ability evaluation model is established. Combined with concrete examples of meteorological station equipment support ability evaluation, a better...
Due to the following characteristics of offshore program, such as one-time large-scale investment, comprehensive high-risk, long payback period, high uncertainty, high regional and political, the investors has been paid more and more attentions to the risk of offshore program. Combined with the characteristics of offshore program risk management, and with the use of BP neural network theory, this...
Firstly, this paper found the indexes system of equipment procurement project organization environment and the indexes system of equipment procurement project organization design. Secondly, the sensitivity analysis model of equipment procurement project organization environment based on BP neural network is given, and simulation analysis is processed. Finally, organization design strategy of controlling...
Taking consideration of the overall relative efficiency of input-output in emergency response resources in the system and making use of data envelopment analysis(DEA) of dangerous goods accident emergency response vessel to evaluate the efficiency of resource allocation, make the evaluation proceeds with the neural network data for training, and predict the effect of generating program, to obtain...
Performance prediction of supply chain is an important content of supply chain management. This paper establishes a supply chain performance prediction model by using fuzzy neural net in combination with fuzzy rough set based on Knowledge Discovery in Data (KDD) and Data-mining Technology. Through a case of supply chain performance prediction, the author reduces the indexes of an evaluation index...
On the basis of analyzing the significance of assessing production and operation ability in small and medium enterprise (shorter form SMB), the assessment-index system of production and operation ability for small and medium enterprise is built and assessment model is established using BP neural network. The conjunction weights of the neural network are continuously modified layer by layer from output...
The artificial neural network (ANN) is a frontier theory of complex non-linearity scientific and artificial intelligence science. At present, the theory is seldom used for urban land suitability evaluation. It is a new method that combines geographic information system (GIS) and artificial neural network technology together. In order to evaluate urban land suitability properly, a new analysis index...
Based on the essence and characteristic of university science research capability (USRC) and the highly self-organized, self-adapted and self-learned characteristics of back propagation (BP) neural network, the paper conducts a research on evaluation of USRC, in which an evaluation index system of USRC is constructed and a BP neural network model with three tiers is presented to evaluate USRC, which...
Because of the shortage of the traditional methods for evaluating regional innovation capability, it presents a new method based on rough set and BP neural network in this paper. Firstly, index system for evaluating about regional innovation capability is set up, and then rough set is used to simplify the attributes of the index system, it will ease the burden of training and learning of BP network...
Based on the substance of university science research capability (USRC) and the highly self-organized, self-adapted and self-learned characteristics of back propagation (BP) neural network, the paper conducts a research on evaluation of USRC, in which an evaluation index system of USRC is constructed and a 15-7-1-typed BP neural network with three layers is presented to evaluate USRC, which provides...
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