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龙茂森 等: 特征扩展的随机向量函数链神经网络 2921
来降低深层结构 (如 BL-DFIS) 中输入变量含义不明确的模糊规则数. 原始数据有明确语义, 其蕴含的信息仍然具
有一定的利用价值. 当模糊神经网络向着复杂化和深层化发展时, 浅层的简单结构带来的性能支撑作用仍然值得
关注. 对于今后的工作, 我们考虑对当前 FA-RVFLNN 的增强节点做两点改进, 其一是随机选择少量属性作为模糊
规则的输入, 进而缩短规则的长度; 其二是将高斯模糊函数嵌入增强节点, 实现系统规则的统一性.
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