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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...
Water resources sustainable use evaluation plays an important role in water resources planning and management, and it is a typical multi-goals, multi-layers and multi-attributes decision-making process, it needs to consider comprehensively social, economic, resources and environmental factors. A new evaluation index system of water resources sustainable utilization has been set up based on Yunnan...
This paper takes commercial bank as the object of study, conducts the research on its logistics finance service pattern's risk evaluation. First, the paper analyses the principal patterns of commercial bank logistics finance services, unifies the characters of each kind of logistics finance service pattern, constructs risk evaluation index of commercial bank logistics finance under different patterns...
This paper analyzed the principles of TOPSIS, used the fuzzy set to pretreat the uncertainty factors in evaluation work. Then obtain the relative closeness according to the distance between each schemes and positive ideal solutions as well as negative ideal solutions. After that, we made comprehensive evaluation. At the end of this paper, a practical example is given to illustrate the effectiveness...
Evaluating road safety is essential in identifying the potential road safety hazard which could result in casualties and property losses. in this paper, a BP neural network was built by using neural network toolkit in "Matlab", Two similar roadways are used in calibrating and validating the network. The high level of predictability provided that the application of BP neural network model...
The low-carbon economy has become the mainstream of social development, but the energy use will inevitably produce high pollution and high emissions of gas with the high speed economic growth of manufacturing companies. Here, this network is introduced into the BP Energy Consumption of manufacturing companies. By description of the BP algorithm characteristics and analysis of the factors influencing...
In order to investigate control method for indoor thermal comfort, the experimental environment of indoor thermal comfort is designed in this paper. Thermal comfort data are collected based on questionnaire means, ANN (artifical neural network) is trained using the data, and the ANN model trained can accurately forecast thermal comfort index. Relevant input parameters is conversely computed based...
This paper innovatively proposes a hybrid intelligent system combining fuzzy comprehensive assessment approach and artificial neural network (ANN) that predicts the safety performance of construction site for breaking through the limitations of conventional method. And also inducts the sensibility analysis to discriminate the importance of each index in the assessment index system. The effectiveness...
In this paper, a self-organizing ANN classifier is designed to estimate transient stability problem. This kind of classifier uses six indexes which are indexes of the integrated performance index method, so as to distinguish power system transient stability state into stable accident and unstable accident. It has better classified effect, and can reducing the number of accidents. It is also suitable...
Based on the analysis of the importance of project termination decision and the review of related research, this paper constructs an R&D project termination decision model based on Kohonen neural network consisting of the principles of a system of evaluation indexes, the quantification of eigenvalues of the evaluating indexes, the basic principle of Kohonen and the establishment and application...
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...
Aiming at the shortages of the existing data-mining model for forecasting the industry security, a classification model based on rough sets and BP neural network (BPNN) is put forward in this paper. First, the theory of rough set is applied to pick up and reduce the index attributes. Then, the training samples are sent to the BPNN to train and learn. After that, the sorts of the coal industry security...
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...
Chord has been widely used as a routing protocol in structured peer-to-peer overlay networks, but there is a lot of redundant information in the node finger table. This paper proposes a strategy that using the node's counterclockwise node information to replace the redundant information, the strategy uses the space effectively which occupied by the redundant information. This paper also proposes a...
The grid index is an important class of indexing technique in the spatial database. Grid index is widely used in the K - nearest neighbor algorithm, the algorithm proposed in this paper is based on the grid index, find the data objects intersecting with the given circle area or contained in the given circle area and cluster the grids which these data objects are in, the remaining grids will be used...
Directory is adopted by most CC-NUMA direct connection multiprocessor system. As a result, how to implement the directory is one of the key issues for the system performance. In this paper, we propose a novel technology, which divides up some space from the last-level cache (e.g., tertiary cache, L3) for storing the directory information. The directory space size could be adjusted flexibly according...
Service mapping is an important part of Open and Reconfigurable Networks (ORN), which is proposed to solve the network convergence problem of emerging applications from the aspect of “application mapping to service, and service mapping to component”. This work introduces the ORN simply firstly; and then presents a general service model, which has four elements, such as Role, Protocol, Quality, and...
About the risk evaluation of network security, a new assessment method based on Nonlinear Principal Component Analysis (NLPCA) is given. The principle and process of NLPCA-RBF is introduced in detail. At last, its superiority is indicated by example. It not only can reduce the dimension of input vector, but also can reserve the nonlinear characteristic of the network by nonlinearity. It is a new evaluation...
This note studies the stability of discrete-time dynamical systems acted upon by a saturation process in the state-space. A finite procedure is proposed to focus on the asymptotic behavior of systems, which produces linear constraints imposed on Lyapunov-Stein matrix inequalities to be solved. A little linear algebra broadens the scope of stability test from that of the earlier Liu-Michel's criterion.
In content-based image retrieval, it is helpful to add a pre-classification module to classify a query image into attentive class or non-attentive class. Based on the pre-classification result, a suitable retrieval strategy is adopted for the query image presented. In this paper, we proposed a Multi-Layer Perceptron (MLP) classifier with the features extracted from saliency map to classify both the...
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