An adaptive software reliability prediction model using evolutionary connectionist approach based on Recurrent Radial Basis Function architecture is proposed. Based on the currently available software failure time data, Fuzzy Min-Max algorithm is used to globally optimize the number of the k Gaussian nodes. The corresponding optimized neural network architecture is iteratively and dynamically r...

pavement design using mechanistic-empirical methods is often carried out based on the some assumptions for pavement layer's properties (thickness, elastic modulus, poisson's ratio and ….), loading properties(axial weight, tire coordinates, number of repetitions and …) and also the failure mechanism for different materials. fulfillment of these assumptions for evolution of pavement performance d...

Of the methods used to build bankruptcy prediction models in the last twenty years, neural networks are among the most challenging. Despite the characteristics of neural networks, most of the research done until now has not taken them into consideration for building financial failure models, nor for selecting the variables to be included in the models. The aim of our research is to establish th...

BACKGROUND Prediction of extubation failure, particularly in neurocritical patients, is unique and controversial. We conducted a systematic review and meta-analysis to identify the risk factors for extubation failure in these patients. METHODS A literature search of databases (MEDLINE, EMBASE, the Cochrane Library, and Web of Science) was performed up to August of 2013 to identify trials that...

Traditionally the statistical or more specifically probabilistic methods form the basic framework for assessing the reliability characteristics of the components. However the recent trend for predicting the reliability or life of the component involves application of physics-offailure methods. This rather new approach is finding wider application as it is based on basic fundamentals of science ...

Prestressed Concrete Cylinder Pipe (PCCP) is a widely used water pipe all over the world. A major cause of PCCP failure is the internal wire break, which will emit acoustic signal. In this paper, a hydrophone-based PCCP real-time monitoring and failure-prediction system was proposed. By applying wavelet energy normalization analysis to signal feature extraction and Support Vector Machine (SVM) ...