The selection of starting center points of clustering has great effects on the constringency speed of this clustering algorithms and the performance of clustering.
聚类初始中心的选择对该聚类算法的收敛速度和聚类的性能都有很大的影响。
The constringency speed and generalization ability of optimized BPNN model are better than that of simple BPNN model, and the simulation result is close to reality.
遗传算法优化的BP神经网络在收敛速度和泛化能力上都较简单的BP神经网络要好，模拟结果更接近于真实值。
Analysis and simulation results show that this kind of detector has faster constringency speed and its structure is simple, so it has good potential for practical applications.
分析和仿真结果表明，该类自适应多用户检测器具有更好的收敛速度和较为简单的结构，具有广泛的应用前景。
Analysis and simulation results show that this kind of detector has faster constringency speed and its structure is simple, so it has good potential for practical applications.
分析和仿真结果表明，该类自适应多用户检测器具有更好的收敛速度和较为简单的结构，具有广泛的应用前景。
应用推荐