当你真正的去学习一门面向对象语言时，就会有C语言的函数学习基础去对比。
When you do learn object , you will have the base of C functional programming to go by.
文中探讨了一种用于提取模糊规则的RBF神经网络结构，提出了基于此网路结构的模糊隶属度函数学习算法，最后给出了用于验证该算法有效性的仿真实例。
The learning algorithm of membership function based on the RBF Neural Network is discussed and an example is given to demonstrate the validity of this algorithm.
函数是中学数学的核心内容，同时它又是学习后继课程的基础，所以在高考中，函数知识占有极其重要的地位。
Function is the key part in Junior Math as well as the basic for the subsequent learning, so functional knowledge is an important part in the National Extrance Exam.
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