提出了一种复值函数型连接神经网络(CFLNN)结构及其学习算法。
A Complex-valued Functional Link Neural Network (CFLNN) with its training algorithm is proposed.
单复变量包含实数和虚数两部分，针对两个实值函数n(x) 和v(x)的表达式为：b(x) = n(x) +iv(x)。
fullprof A complex variable has real and imaginary parts written in the form b(x) = n(x) + iv(x) for two real-valued functions n(x) and v(x)
通过讨论初等多值函数的单值解析分枝问题，重点研究了初等多值函数在复变函数中的具体应用。
The multi-valued problems of elementary complex functions are discussed, and then the applications of general multi-valued functions in complex functions are discussed mainly.
本文把复变函数的围道积分应用于泛函分析，对一般的线性闭算子得到了算子值函数的中值定理。
In this paper, the author USES the contour integral in analytic function to functional analysis, and obtains the mean value theorem of operator-valued functions.
本文把复变函数的围道积分应用于泛函分析，对一般的线性闭算子得到了算子值函数的中值定理。
In this paper, the author USES the contour integral in analytic function to functional analysis, and obtains the mean value theorem of operator-valued functions.
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