<span lang="EN-US">In this paper, a new method is developed to model the wind speed data that considered as function of seasonal variations. A hybrid artificial neural network (HANN) investigated based on Weibull distribution model. The presented HANN predicts with and chronological characteristics similar real data. design farm was implemented using MATLAB software. suggested has been ap...

We present an online system for automatic smart face morphing, which can be accessed at http://facewarping.com. This system morphs the user-uploaded image to “beautify” it by embedding features from a user-selected celebrity. This system consists of three major modules: facial feature point detection, geometry embedding, and image warping. To embed the features of a celebrity face and at the sa...

This report presents the studies carried out on two modifications suggested in the literature for Levenberg-Marquardt algorithm. The modifications are applicable to feed-forward neural networks. One modification [18], made on performance index, reduces computational complexity of the Levenberg-Marquardt algorithm, while the other one [17], made on calculation of the gradient information, improv...

Back propagation neural network (BPNN) algorithm is a widely used technique in training artificial neural networks. It is also a very popular optimization procedure applied to find optimal weights in a training process. However, traditional back propagation optimized with Levenberg marquardt training algorithm has some drawbacks such as getting stuck in local minima, and network stagnancy. This...

In this work, two modifications on Levenberg-Marquardt algorithm for feedforward neural networks are studied. One modification is made on performance index, while the other one is on calculating gradient information. The modified algorithm gives a better convergence rate compared to the standard Levenberg-Marquard (LM) method and is less computationally intensive and requires less memory. The p...