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A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed. 摘要提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
population based incremental learning algorithm 基于群体递增学习算法
Population Based Incremental Learning algorithm(PBIL) PBIL算法
Research of incremental learning algorithm with support vector machine 基于支持向量机的增量学习算法研究
Fast incremental learning algorithm of linear support vector machine based on hull vectors 基于壳向量的线性支持向量机快速增量学习算法
An Incremental Learning Algorithm for Support Vector Machine and its Application 支持向量机增量学习的算法与应用
An approach to optimize cancer chemotherapy using population based incremental learning algorithm 基于群体递增学习算法的癌症化学疗法优化技术
Application of Population-based Incremental Learning Algorithm in Solving Code Covering Problem 应用基因概率学习算法求解最小码覆盖问题
Application of incremental learning algorithm of decision tree to fault diagnosis 一种决策树增量学习算法在故障诊断中的应用
Research on incremental learning algorithm with multiple support vector machine classifiers 基于多支持向量机分类器的增量学习算法研究
A Population Based Incremental Learning Algorithm with Pleitropic Traits and Its Application in Selected Traveling Salesman Problems 基因多效性人口增量学习算法及其在旅行推销员问题中的应用
2) On the basis of hull vector SVM, a new geometric fast incremental learning algorithm for support vector machine is proposed. 在壳向量SVM快速分类算法的基础上,提出了基于壳向量的支持向量机增量学习算法。
incremental learning algorithm 增量学习算法
This algorithm can improve the astringency and increment learning ability of the neural network effectively. 利用该算法对神经网络的权值和域值进行训练,有效地提高神经网络的收敛性及增量学习能力。
increment learning algorithm 增量学习算法
In this paper, a criteria for the minimal recalculation based on the rough sets theory is given, and an improved algorithm for incremental learning is present. 本文从粗集理论出发，提出了一种最小重新计算的标准，并在此基础上，给出了一个增量式学习的改进算法。
When we play chess, do we use a learning algorithm or brute force. 当我们玩西洋象棋的时候,我们使用学问运算法则或暴力吗。
The paper presents the research of learning algorithm of FNN. 摘要对模糊神经网络的学习方法进行了研究。
In this paper,a criteria for the minimal recalculation based on the rough sets theory is given,and an improved algorithm for incremental learning is present. 论文从粗集理论出发,提出了一种最小重新计算的标准,并在此基础上,给出了一个增量式学习的改进算法。
Based on the equivalence between the original training set and the newly added training set, a new algorithm for SVM-based incremental learning was proposed. 基于原训练样本集和新增训练样本集在增量训练中地位等同，提出了一种新的SVM增量学习算法。