Engineering structures are usually exposed to cyclic multiaxial loading and subsequently to multiaxial fatigue. Different models and criteria with various capabilities have been proposed for predicting of multiaxial fatigue life. Selection of proper model by considering material, type of loading and operation condition of each engineering structure is a challenging issue of the life prediction ...

Hidden Markov Model (HMM) based speech synthesis using Decision Tree (DT) for duration prediction is known to produce over-averaged rhythm. To alleviate this problem, this paper proposes a two level duration prediction method together with outlier removal. This method takes advantages of accurate regression capability by Extreme Learning Machine (ELM) for phone level duration prediction, and th...

Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...

For traffic prediction forecasting in WIMAX, generally the genetic algorithm were used ,but due to certain limitation of genetic algorithms, problems was created in the traffic prediction .So there is a need to proposed a new approach that is better than Genetic algorithm .this approach need to update the limitation of the Genetics algorithm. There is a need to enhance the prediction capability...

prediction of precipitation is very important. regarding to the non- linear relationships and uncertainty of models, there is no superior and persuasive model among various proposed models to simulate precise precipitation and its amount. wavelet is one of the novel and very effective methods in time series and signals analyzing, that has been considered in the field of hydrology in recent year...

Software maintenance constitutes an important part of the total cost of the lifecycle of software. Some even argue that this might be the most important component of the cost, even though customers often do not perceive the added value of software maintenance. A proposed approach to highlighting the added value of maintenance is to provide the customer with process performance measures aligned ...