The result of this experiment shows that the modified RBF neuro-network increases trend accuracy in sequential predicting, while debasing the cost of time and reducing the complexity of the model.
试验结果表明，加入聚类分析的径向基神经网络模型提高了连续预测的趋势准确率，降低了时间代价，并减小了模型的复杂度。
By formalizing description of system model and running model of CSCM mechanism, the usability and extensibility of the system is given, and the message complexity and convergence time is proved.
通过形式化描述和分析CSCM机制的系统模型和运行模型，证明了CSCM具有一阶线性的消息复杂度和收敛时间。
Finally the paper measure how system's complexity is by Function Points Model at the beginning of the project to help project designer and developer carry on reasonable plan and time phasing.
最后引入功能点分析模型在系统构建初期分析系统功能的复杂程度，从而为项目的计划和进度安排提供有力的依据。
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