1) polynomial and volatility models
多项式模型及波动模型
1.
Based on coalfield sedimentary environment,coal hosting pattern and tectonic development features,3 different oriented sections were selected to establish linear regression,polynomial and volatility models for coal seam thickness and interval between coal seam thickness predicting point and coal outcrop,using Matlab mathematical software to carry out different kinds of mathematical model fitting.
根据该煤田沉积环境、赋煤规律及构造发育特征,选择了3条不同方向的剖面,建立了以煤层厚度及煤层厚度预测点与煤层露头之间距离的线性回归模型、多项式模型及波动模型,并利用Matlab数学建模软件,对各种数学模型进行拟合。
2) multinomial model
多项式模型
1.
At first,risk-neutral probabilities of option pricing were obtained which with asymmetrical multinomial model of two assets,then the American option price of two assets were gotten,which volatility followed Markov process.
通过二元离散随机变量对连续随机变量的逼近,首先获得了两资产非对称多项式模型期权定价的风险中性概率,然后给出了两资产波动率都服从Markov过程的美式期权定价结果,改进了对称多项式模型风险中性概率和单资产美式期权定价的结果。
3) polynomial model
多项式模型
1.
OFDM blind channel estimation based on polynomial models;
基于多项式模型的OFDM信道盲估计(英文)
2.
To improve the precision of short stroke control in hot mill, the broken line model is converted into the slick curve model,a polynomial model and a RBF neural network model are studied,which have been simulated and applied to online controlling.
为提高热轧带钢短行程控制精度 ,将折线模型改进为光滑模型 ,研究了短行程控制的多项式模型和RBF神经网络模型 ,进行了仿真分析 ,并投入现场使
3.
Using the polynomial model as the dynamics model of magneto-rheological damper,the bad effect of the damping force jump with the "on-off" semi-active control on vibration acceleration of vehicle sprung mass is investigated.
用多项式模型作为磁流变减振器的力学模型,研究了传统"开-关"型半主动控制的阻尼力跳跃对汽车簧载质量振动加速度产生的不利影响,针对1/2汽车模型对具有磁流变减振器的汽车悬架简单模糊和自适应模糊神经半主动控制策略进行了数值仿真,基于数值仿真结果分析了各控制策略的效果。
4) dynamic polynomial distribution model
动态多项式分布模型
1.
In this paper the dynamic polynomial distribution model for observations following polynomial distribution is proposed.
给出了观测值服从多项式分布的动态多项式分布模型， 并在自然参数Ｂｔ 与状态参数θｔ之间满足ｆ（Ｂｔ） ＝ Ｆ′ｔθｔ 的假设下， 利用共轭分布给出了动态多项式分布模型的修正递推及其预
5) Second order polynomial model
二级多项式模型
6) pseudo polynomial model
伪谱多项式模型
1.
An adaptive sectional method was presented based on the pseudo polynomial model and Padé(rational) model.
提出了一种新型的自适应分段方法,利用高精度的伪谱多项式模型及Padé有理模型作为基础,综合采样点校验准确和模型间校验快速的优点,自适应地对分析区域进行分段逼近。
补充资料：多项式乘多项式法则
Image:1173836820929048.jpg
多项式乘多项式法则
先用一个多项式的每一项乘以另一个多项式的每一项，再把所得的积相加。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。