进行各种有理式计算，求多项式、有理式方程和超越方程的精确解和近似解。
Various RATIONAL, polynomials, RATIONAL Exact solutions of equations and transcendental equations and approximate solutions.
函数逼近应用实例结果表明，将有理式多层神经网络用于解决传统问题是有效的。
Experiment result illustrates the effectiveness of the rational fraction multiplayer feed forward neural networks in solving traditional problems.
与传统的方法相比，无需对随机信号的协方差函数的功率谱进行分解，不受限于协方差函数的功率谱是否为有理式。
Compared with the traditional method, it does not need disassembling the power spectral densities of stochastic signal covariance and is not bound to if the power spectral densities are rational.
与传统的方法相比，无需对随机信号的协方差函数的功率谱进行分解，不受限于协方差函数的功率谱是否为有理式。
Compared with the traditional method, it does not need disassembling the power spectral densities of stochastic signal covariance and is not bound to if the power spectral densities are rational.
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