In this paper, we present a new idea of evolving weights for the Artijicial Neural Networks (ANNs). We propose a novel hybrid learning approach for the training of a feed-forward ANN. The approach combines evolutionary algorithms with matrix solution methods such as GramSchmidt etc., to achieve optimum weights for hidden and output layers. Our hybrid method is to apply the evolutionary algorith...

This work is a natural extension of the work done in Part II of this series. A new partition of unity | the synchronized reproducing kernel (SRK) interpolant|is proposed within the framework of moving least square reproducing kernel representation. It is a further development and generalization of the reproducing kernel particle method (RKPM), which demonstrates some superior computational capa...

Form tolerances are related to features that are not dependent on datum for reference, where the overall feature accomplishes form. Evaluation of form tolerance is done from the sample space data set, its distribution and measurement factors. Average value of deviation to assess the tolerance may give a quick picture of variation but shall not contribute to the characteristics of slope/fluctuat...

In Part I of this work, the moving least-square reproducing kernel (MLSRK) method is formulated and implemented. Based on its generic construction, an m-consistency structure is discovered and the convergence theorems are established. In this par\ of the work, a systematic Fourier analysis is employed to evaluate and further establish the method. The preliminary Fourier analysis reveals that th...

Form tolerances are related to features that are not dependent on datum for reference, where the overall feature accomplishes form. Evaluation of form tolerance is done from the sample space data set, its distribution and measurement factors. Average value of deviation to assess the tolerance may give a quick picture of variation but shall not contribute to the characteristics of slope/fluctuat...

The A-share stock price of state-owned shipping enterprises is higher than the discount value constantly. It implies an American call option for a speculator, so contains and value. In order to help investors find real obtain returns under high volatility caused by fluctuations cycle or market valuation cycle, Least Square Monte Carlo Simulation (LSM) method used calculate implied with date COS...

Video shot boundary detection is the basic step in the area of content based video analysis and retrieval. Various automatic shot boundary detection techniques have been proposed and their performances are reliable, especially for video cut detection. However most of the proposed methods are sensitive to camera, object motion and lighting changes. In this paper, we have focused mainly on the im...

Article history: Received 21 September 2010 Accepted 19 March 2011 Available online 23 March 2011

This paper presents a fast algorithm for global motion estimation based on Iterative LeastSquare Estimation (ILSE) technique. Compared with the traditional framework, three improvements were made to accelerate the computation progress. First, a new 3-parameter linear model, together with its solution using modified ILSE method, is proposed to describe and estimate global motion, which is simple...