The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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...
Leslie Lampor proposed the theory of Temporal Logic of Actions(TLA),which can express model program and logical rules in one language at the same time. Secure Electronic Transaction(SET) is an secure protocol for e-commerce, Based on the open network and paying with credit card. The agreement defines the whole process of the internet transactions. And it has a complete authentication. Based on the...
This paper provides a method of discriminate analysis based on artificial neural network (ANN). 2-Class and multi-class discriminant analysis are separately discuss using Back Propagation network. The results of our study indicate that discriminate analysis based on ANN could classify the observation more accurately than the traditional methods.
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...
We present a model using back-forward feed propagation method for tree diameter distribution in stand based on artificial neural network with three-tier management. This model is able to describe dynamics of diameter distribution in stands with high precision and good correlation. We also demonstrate that an ANN model from it has superiority in regression due to its ability to overcome some difficulties...
Hybrid system is a dynamic system that has discrete state transfer and continuous state variation. Recently, popular hybrid system model includes threshold-event-driven hybrid systems (TEDHS) and polyhedral invariant hybrid automaton (PIHA). Finite state machine is used to describe the discrete feature of hybrid system and reachable set of stream pipe is used to describe its continuity approximately...
Visible and near infrared (NIR) spectroscopy was utilized to determine the growing areas of Tremella fuciformis. Principal component analysis (PCA) obtained the cluster plot which shows the difficulty to determine the growing area by the first three principal components. Least-square support vector machine (LS-SVM) was used to establish the calibration model. Successive projections algorithm (SPA)...
Gait recognition is of increasing interest recently. A gait recognition method using the temporal information of leg angles is proposed, based on the fact that changes of leg angles can reflect main trait of a man's moving. First the pendulum model is referred to for extracting leg parts, and least-square method is used for boundary fitting, to obtain the temporal information of angle about thigh...
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...
Insolvency of insurance companies has been a concern to the community due to the need to protect the general public from the aftermath of insurer insolvency and to try to minimize the costs associated to this difficulty such as the insurance guaranty funds. The artificial neural network is utilized in this study to create an insolvency predictive model that could predict any future failure of general...
Solar energy is one of the most promising renewable energy sources. The generating capacity of this source however is highly dependent on the available sunlight, its duration and intensity. In order to integrate these types of sources into an existing power distribution system, system planners need an accurate model that predicts its generating capacity with the usage of easily accessible information...
Short-term traffic flow forecast is an important topic in the research field of intelligent transportation systems. The article analyses the preliminary results in the short-term traffic flow forecast, takes full advantage of the characteristics of grid technology, and builds a model based on chaos theory and neural network. It uses grid resource management mechanisms and migration strategies to solve...
The artificial neural network (ANN) method is used to study the macroscopic model of an actual water distribution system. For the first time, the Ant Colony Optimization (ACO) algorithm is implemented to optimize the node numbers of the hidden layers in the ANN model. The ANN model contains two hidden layers with a maximum of 64 nodes per layer. Each node number in the hidden layers is transformed...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.