1.
MISO Multivariate Generalized Polynomials Neural Network and its Weights-Direct-Determination
MISO多元广义多项式神经网络及其权值直接求解
2.
General Polynomial Neural Network and Its Structure Adaptive Determination
广义多项式神经网络及其结构自适应确定
3.
Implicit surface reconstruction from point cloud data based on generalized polynomials neural network
基于广义多项式神经网络的点云数据隐式曲面重构方法
4.
Descartes' Law of Signs for Generalized Polynomials and Its Application in the Method of Descent
广义多项式的Descartes符号法则及其在降维方法中的应用
5.
A Two-dimensional Generalization of the Bernstein Polynomials;
二维广义Bernstein多项式
6.
Generalized Williams problem and Chebyshev s polynomial;
广义Williams问题与Chebyshev多项式
7.
On Generalization of the Stirling and Bell Polynomial;
广义Stirling数与广义Bell多项式
8.
Some identities involving generalized Euler-Bernoulli polynomials
几个有关广义Euler-Bernoulli多项式的恒等式
9.
The Involving Fraction Sum of Generalized Chebyshev Polynomial
广义Chebyshev多项式分式变换之和
10.
A calculus method of calculating generalized n-th-order Euler′s polynomial and generalized n-th-order Bernoulli′s polunomial
求广义高阶欧拉多项式与广义高阶伯努利多项式的微积分方法
11.
The Application of Generalized Othogonal Polynomials (GOP) to the Solution of Convolution Integrals
广义正交多项式在卷积求解中的应用
12.
Generalized Bernoulli-Euler Polynomials and Their Research
广义Bernoulli-Euler多项式及其研究
13.
Combinatorial Identities' Proof and Research on the Generalized Bernoulli and Euler Polynomials
若干组合恒等式证明及广义的Bernoulli多项式、Euler多项式探析
14.
Some Identities on the Generalized m-th-order Euler-Bernoul li Polynomials;
关于广义m阶Euler-Bernoulli多项式的几个重要恒等式
15.
Limit Cycles and Generalized Isochronous Centers for Polynomial Differential Autonomous Systems;
多项式微分自治系统的极限环与广义等时中心
16.
Partial Ordering of Generalized Inverse and the Solution of the Equation of Matrix Polynomial Function;
矩阵广义逆偏序与矩阵多项式函数方程解
17.
Some properties on the generalized Euler and Bernoulli polynomials;
推广的Euler多项式与Bernoulli多项式的性质
18.
In. this paper, the parameter expression of expanded polynomial of generalized charactristic determinant is worked out and proved mathematically.
本文将广义特征行列式展开成多项式,对其系数表达式从数学上加以了证明。