港口扩建的物流规划模型及其计算机仿真*

随着经济的发展，国内外贸易迅速增长，港口航运业务也日趋繁忙，港口拥堵的现象常有发生，以致许多船舶不得不把时间浪费在等待服务上。为了减少船舶的等待时间，在原来的港口上进行扩建是十分必要的,为此提出了港口扩建的资源配置协调优化模型。提出在原有港口资源的基础上增加泊位数和提高服务率两种方案，并针对以上两种方案分别构建了所需总费用的数学模型；运用排队论方法和计算机仿真优化方法进行求解,通过一个实例来说明计算机仿真技术在港口扩建的资源协调优化的适用性和有效性。

Logistic planning model and cmputer simulation of port expansion

Used HMM combined with WNN, this paper proposed a human identity recognition method based on heart sound signal. First, employed HMM to train the time sequence of heart sounds and to compute the Viteribi output score. Then used the score as the input of WNN, made nonlinear mapping by WNN to acquire the classification information. The result of recognition was made by these two kinds of recognition information. The experiment collected 160 heart sounds from 80 people to test the proposed algorithm, the proposed system achieved higher recognition rate than Gaussian mixture model method. The results show that the hybrid model can effectively improve the recognition performance of the system and achieve a satisfactory effect.