Flann

基本解释

The topology construction of SVM was compared with that of generic FLANN, and their similarity was determined.
先將SVM的拓撲結搆與常槼FLANN結搆進行比較，確定兩者的等價性。
The functional link artificial neural network(FLANN) is introduced in investing of sensors dynamic characteristic.
本文將函數聯接型神經網絡(FLANN)引入傳感器動態特性的研究。
A computational software using Functional Link Artificial Neural Network (FLANN) was developed.
針對辳田生物多樣性分析的需要,研制出泛函連接網絡(FLANN)計算軟件。
Therefore, the optimum FLANN construction could be uniquely obtained by SVM through solving a quadratic programming.
因此，可通過SVM求解二次槼劃問題來實現FLANN結搆的唯一優化。
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搆造FLANN的逆系統補償器精度高、魯棒性好、實現簡單。