Because of FNT's inherent restrictions, it is hard to implement cyclic convolution using FNT.
由于FNT变换本身的局限，不能完成大点数循环卷积。
This paper presents a method of building expert systems with fuzzy-neural technology '(FNT method).
本文提出了一种用模糊-神经技术建造专家系统的方法(FNT方法)。
On the basis of FPT, in this paper we introduce an iteration algorithm for computing hyper-large scale 2-d cyclic convolutions by combining FPT with FNT.
本文将FPT和FNT相结合提出了一种计算超大型二维循环卷积的迭代算法，它的基础是应用了FPT。
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