It should be pointed out that the constructive algorithm does not depend on the nature of the strategy determined by parameters , and that the constructive algorithm is also suitable for both level track and non - zero gradient track theoretically 本文還給出一種基于迭代序列的構(gòu)造性算法,該算法調(diào)用了基本計(jì)算過程但不需要確定參數(shù)對(duì)入和。所對(duì)應(yīng)的運(yùn)行方案的本質(zhì),從理論上來說它也是既適合水平軌道又適合帶有坡度軌道的。
This paper researches the three - layered b - spline neural network , which is commonly used in engineering and presents a constructive algorithm for selecting the number of the hidden nodes . it is proved that the proposes algorithm can be used to build a b - spline neural network with minimum hidden nodes to approximate any continuous function defined on compact set to a prescribed accuracy 本文研究了工程上常用的三層b樣條神經(jīng)網(wǎng)絡(luò),采用構(gòu)造性的方法證明了b樣條神經(jīng)網(wǎng)絡(luò)的全局逼近能力,并且給出了構(gòu)造幾乎最小隱節(jié)點(diǎn)的算法,從而在理論上為b樣條神經(jīng)網(wǎng)絡(luò)的使用提供了依據(jù)。