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.
Bankruptcy prediction is a hot topic. Traditional methods consist of univariate model and multivariate model such as neural network. However, the NNs can not extract effective rules. Thus, a novel approach was proposed in this paper to extract rules. First, t-test method was used to select 5 features from 55 original features. Second, the rule encoding was constructed. Third, the ant colony algorithm...
The human resource function is more important than ever before, it is becoming more strategic rather than merely administrative than it used to be. Human resource development is based on the beliefs that organizations are human-made entities that rely on human expertise in order to establish and achieve their goals. So Employee is the masses foundation and impetus for organization development and...
The less predictable characteristics of droughts make drought both a hazard and a disaster: a hazard because it is a natural accident of unpredictable occurrence but of recognisable recurrence, and a disaster because it causes the disruption of the water supply to the natural and agricultural ecosystems as well as to other human activities. What make less predictable characteristics of droughts is...
In this paper, we employed neural network ensemble for FPs reduction in detecting lung nodules in chest radiographs. In our scheme, the ensemble consists of four modified forward neural networks, each one of them was trained with the back propagation algorithm to distinct a different type of non-nodules from nodules. The outputs of all the individual neural networks were combined by a modified forward...
This paper studies learning transfer based on the adaptive learning theory, intelligence cognitive model theory and knowledge input theory under the large framework of updated cognitive theory of psychology. It mainly focuses on the method and experiment of positive transfer in production system self-adaptability model with the help of updated Artificial Neural Networks communication technology. These...
The Radon transform is an important tool to detect line features in the image and it has strong anti-noise ability. The traditional method, which the first step is to do edge detection and then to do the Radon transform, exists some defects. Therefore, this paper has made some improvements, that is, using the empirical mode decomposition (EMD) method to decompose the image under different scales....
RBF neural network off-line learning algorithm can only be trained by a set of samples at the same time, not by individual samples one by one, therefore its adaptiveness is poor. This paper presents an improved RBF network on-line learning algorithm based on resource allocation network. The network can be trained by individual samples respectively. At first a structure of RBF neural network with no...
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.