Flann

基本解释

The topology construction of SVM was compared with that of generic FLANN, and their similarity was determined.
先将SVM的拓扑结构与常规FLANN结构进行比较，确定两者的等价性。
The functional link artificial neural network(FLANN) is introduced in investing of sensors dynamic characteristic.
本文将函数联接型神经网络(FLANN)引入传感器动态特性的研究。
A computational software using Functional Link Artificial Neural Network (FLANN) was developed.
针对农田生物多样性分析的需要,研制出泛函连接网络(FLANN)计算软件。
Therefore, the optimum FLANN construction could be uniquely obtained by SVM through solving a quadratic programming.
因此，可通过SVM求解二次规划问题来实现FLANN结构的唯一优化。
As a result, the dynamic compensating method for LS-SVM based FLANN has the characteristics of high precision, strong robustness, and easy realization.
用LS-SVM构造FLANN的逆系统补偿器精度高、鲁棒性好、实现简单。