Furthermore, Natural Laws such as Gravity, Inverse Squares, Cause and Effect, and Thermodynamics imply a Law-giver.
此外，自然的法则，如重力，逆平方定律，因果关系，以及热力学意味着必有法则的赋予者。
An adaptive inverse control method based on Least Squares support vector machine is studied in this paper.
本文主要针对基于最小二乘支持向量机的自适应逆控制方法进行了研究。
The least squares solution of inverse problems of generalized skew symmetric matrices and It's optimal approximation problems are discussed.
讨论了线性流形上广义次对称矩阵反问题的最小二乘解及其逼近问题。
An adaptive inverse control method based on Least Squares support vector machine (LS-SVM) is studied in this paper.
本文主要针对基于最小二乘支持向量机的自适应逆控制方法进行了研究。
The initial inverse model of process is built based on least squares support vector machine, and the Numbers of support vector is reduced through pruning algorithm.
初始过程的逆模型，建立了基于最小二乘支持向量机，并通过剪枝算法将支持向量的数量减少。
Classical algorithms of image restoration include the inverse filter, wiener filter, constrained least squares filter and so on.
经典图像恢复方法包括逆滤波、维纳滤波、约束最小二乘等等。
In this adaptive inverse control mechanism, the inverse model is updated through recursive least squares algorithm, and controller is adjusted online according to method of filter.
在这种自适应逆控制机制中，逆模型通过递归最小二乘算法更新，控制器依据-滤波进行在线调整。
The least-squares solutions of inverse problems of a class of skew-symmetric matrices is discussed, and the expression of the solution is obtained.
讨论了一类次对称矩阵反问题的最小二乘解，得到了解的具体表达式；
A dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares-support vector machine (LS-SVM).
提出一种用最小二乘支持向量机(LS - SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。
A dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares-support vector machine (LS-SVM).
提出一种用最小二乘支持向量机(LS - SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。
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