For the commonly used three-layered neural network, how to select the number of the hidden nodes is always a real problem.
对于常用的三层结构的神经网络，隐节点数目的确定一直是个难题，至今无定论。
The RBF network configuration is formulated as a minimization problem with respect to the number of hidden layer nodes, the center locations and the connection weights.
R BF网络的设计问题就是关于网络隐节点数和隐层节点RBF函数中心、宽度和隐层到输出层的权值的性能指标的最小化问题。
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