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We propose in this letter two new subspace learning methods, called nearest feature space analysis (NFSA) and discriminant nearest feature space analysis (DNFSA), for pattern classification. While many subspace learning algorithms have been proposed in recent years, most of them apply the conventional nearest neighbor (NN) metric to derive the subspace and may not effectively characterize the geometrical...
To solve the problem of recognize the causation factor characteristics of emergency in supply chain in different industries, the paper established causation factor index system of emergency in supply chain based on system analytical method, and at the same time, put forward a causation factor characteristics recognition model for emergency in supply chain based on principal component analysis and...
The paper studies the application of principal component analysis and ANN (Artificial Neural Networks) for pre-warning of enterprise financial crisis, analyzes the factors of financial crisis, and constructs the model of the enterprise financial crisis with principal component analysis and ANN. It integrates simplifying of enterprise financial crisis index, dynamic learning of financial crisis knowledge...
According to the characters of the third-party logistics enterprise, the article constructs an index system of performance evaluation that consists of four classification criteria which includes the financial performance, operational procedures, learning and innovation and customer relationship management. The index weights are determined by combining analytic hierarchy process (AHP) method and principal...
Teachers in a university do not only lecture, but also many other things, such as educational research, scientific research, etc. The comprehensive evaluation on the results of teaching and research with one teacher is required in a university. However, there is more qualitative but less quantitative, more soft but less hard index for the teacher with assessment criteria. A full range system for teacher...
To find the risks in food supply chain and to take appropriate measures to guard against risks and increase capacity of food supply chain to resist risks. The paper established Logistic regression early-warning model to recognise magnitude of risks based on principal component analysis and Logistic regression analysis. An empirical analysis is carried out to test the model by take out some food enterprises...
A performance degradation prediction method for multi-unit system with insufficient measurement data is proposed by integrating data recovering model, hidden Markov model and support vector regression (SVR) model. The development of the model includes three main parts. Part one, a principal component analysis (PCA) model is build based on normal state. Part two, a hidden Markov model(HMM) is trained...
Based on the knowledge gap literature review, the elements of knowledge gap affecting enterprises are divided into the following five types according to enterprise operation laws and factors in market competition, i.e. Knowledge Gap of Management, Knowledge Gap of Sharing, Knowledge Gap of Innovation, Knowledge Gap of Resoures, Knowledge Gap of Propertyrights; then with principle of PCA to build positive...
By analyzing the subjects and objects, as well as the targets, we suggest that indicators of performance evaluation should be chosen from two fields, financial and non-financial. Financial indicators are chosen from such types as profitability, solvency, operational capacity and developing capacity, while non-financial indicators are from development and innovation, human resource, industry impact...
Teachers in a university do not only lecture, but also many other things, such as educational research, scientific research, etc. This paper analysis the problems in performance review of university teachers at first. Then the principle to design the comprehensive evaluation model for performance review of university teachers is proposed. The principal component in the model and the method to do performance...
There are large differences in economic growth and employment because of the different advantage in different regions, different times and different stages of economic development, so the region should develop services according to their own situation, determine the internal service for the order of priority development sectors. Through the quantitative analysis of service industry for Heilongjiang...
Surface integrity of 3D medical data is crucial for surgery simulation or virtual diagnoses. However, undesirable holes often exist due to external damage on bodies or accessibility limitation on scanners. To bridge the gap, hole-filling for medical imaging is a popular research topic in recent years. Considering that medical image, e.g. CT or MRI, has the natural form of tensor, we recognize the...
The regional logistics network can ensure the commodity flow between the regional logistics nodes and also promote the development of regional industrial clusters. Planning reasonably the level, function and development strategies of regional logistics network node are of particular significance. Henan was chose as a research sample and the related logistics network node planning target system was...
This paper designs a system of 27 indicators to measure regional intellectual capital. Based on this system, we collected the date of these indictors of the year 2006 from all 29 provinces & cities of China; and we estimated the intellectual capital level of the 29 regions by the method of Principal components analysis and Cluster analysis. It is showed that intellectual capital is strong in eastern...
Flood disaster management is an important part of flood risk assessment. A regional flood disaster risk assessment index system is established in this paper. Then principal component analysis (PCA) method and BP neural network are combined, and a regional flood disaster risk assessment of PCA-BP neural network model is established. PCA-BP neural network model analyze the loss of flood disaster about...
Structuring a corresponding performance assessment index system by dividing the responsibility main body,and selecting a performance assessment index according to the principal component analysis. Then basing on a comprehensive performance assessment which is obtained by fuzzy comprehensive evaluation method, to structure a performance assessment model of supervising public projects that is perfect...
The rural ecological environment system is complexity, multi-attribute and multilayer tissue system, so its impact factors include natural, economic and social factor. The paper builds three lays rural ecological environment index system with analytic hierarchy process and presents standard value of the index evaluation, and calculates index weight with principal component analysis, and gives indexes...
Based on the annual report data between 1995 and 2005 of all listed companies (LCs), the 25 initial financial indexes, widely used by experts and researchers aboard and at home, was deduced to 14 effective evaluation indicators using factor analysis and principal component analysis (PCA). The 14 evaluation indicators, covering five aspects for comprehensive evaluation of competitiveness of LC, retain...
We give efficient algorithms for volume sampling, i.e., for picking k-subsets of the rows of any given matrix with probabilities proportional to the squared volumes of the simplices defined by them and the origin (or the squared volumes of the parallelepipeds defined by these subsets of rows). This solves an open problem from the monograph on spectral algorithms by Kannan and Vempala (see Section...
In this paper we have proposed a new way to achieve the optimum learning rate that can reduce the learning time of the multi layer feed forward neural network. The effect of optimum numbers of inner iterations and numbers of hidden nodes on learning time and recognition rate has been shown. The Principal Component Analysis and Multilayer Feed Forward Neural Network are applied in face recognition...
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