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1.According to the data since 1997,this paper firstly describes the development of world Second Boards. Then we select three typical markets from the world,using EGARCH model with generalized error distribution to explore the internal construction of the Second Boards from the perspective of volatility. The three markets are NASDAQ from America,AIM from British and KOSDAQ from Korea.
2.：This article explains two algorithms for improving the accuracy of periodic signal analysis by software synchronization sampling． Through emulative calculating and comparing, it analyses the error caused by each algorithm and provides some suggestions for how to select the right algorithm to AC parameter measurement．
3.In this paper,under the principle of asympetotic mean squarte error,the method how to select suitable threshold and fracture sample in moment estimator based on exponential regression model is put forward Using MC method,several extreme distribution(Burr(1,1,1),Burr(1,0.5,2) Fréethet(1),Frécthet(2),Student-t4,Student-t6)are simulated and ideal results are attained.
4.Abstract: It is very important to estimate the basic parameters in helicopter preliminary design.Neural Network (NN) has the advantages in estimating accuracy and generalization over traditional methods.However,there are some difficulties in using NN,e.g.,how to select a proper network structure and the number of hidden layers.In this paper,structure and connection weight of a three-layer NN are optimized by genetic algorithm,and the optimized network is applied to helicopter sizing.The proposed method can not only give an optimal NN structure and connection weight,but also reduce the prediction error and has the capability of self-learning when the latest data are available.Furthermore,this method can be easily applied to helicopter design systems.
5.Firstly,a joint V-BLAST(Vertical-Bell Labs Layered Space-Time)and multiuser detection algorithm for MIMO MC-CDMA system is proposed in this paper. Based on a modified iterative interference cancellation V-BLAST detection with minimum mean squared error(MMSE), two groups of detection data are obtained for each user, then maximum-likelihood(ML)scheme is applied on the iterative output of all users to select the better group of data to optimize system performance.
6.It is very important to estimate the basic parameters in helicopter preliminary design.Neural Network (NN) has the advantages in estimating accuracy and generalization over traditional methods.However,there are some difficulties in using NN,e.g.,how to select a proper network structure and the number of hidden layers.In this paper,structure and connection weight of a three-layer NN are optimized by genetic algorithm,and the optimized network is applied to helicopter sizing.The proposed method can not only give an optimal NN structure and connection weight,but also reduce the prediction error and has the capability of self-learning when the latest data are available.Furthermore,this method can be easily applied to helicopter design systems.
