在预测和建模中，通过大量研究发现，最好使用高斯输入函数和线性输出函数。
In prediction and modeling, most the responses were found to be best trained using Gaussian input membership functions with a linear output function.
使用高斯输入短脉冲及其特点进行了讨论，通过数值模拟的基本原理进行了分析。
The basic principle was analyzed by using a Gaussian input short pulse and its characteristics were discussed by numerical simulation.
通常的基于短时自相关的自适应线谱增强器（SABALSE）主要缺点是：输入信噪比低时，抑制高斯噪声性能差。
Traditional short-term autocorrelation-based adaptive line spectrum enhancer (SABALSE) becomes low in suppressing Gaussian noise when input signal-to-noise ratio becomes low.
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