图2—1中节点分为两类，观测节点（Observed Nodes）和隐节点 （Hidden Nodes）；图（a）中狄色节点为观测节点，对应图（b）上方中的节点Y，表 示图像像素；白色节点为隐节点，对应图（b）下方的标记节点x，表...
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数据中心和扩展常数调整过程中还引入了隐节点的合并操作和删除操作。
Hidden units combination and deletion in the process of adjusting data centers and spread constants are also introduced.
结构学习确定了表示了模糊规则和模糊分段数的连接类型以及隐节点数目。
The structure learning decides the proper connection types and the number of hidden units which represent fuzzy logic rules and the number of fuzzy partitions.
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。
For the commonly used three-layered neural network, how to select the number of the hidden nodes is always a real problem.
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