The researchers conducted a series of laboratory experiments with groups of various sizes and developed a mathematical model of the intuitive learning process.
该研究选取不同大小的样本进行了一系列实验室实验，形成了直觉学习过程的计算模型。
Analyzed the structure and mathematical model of linear servo system based on open-closed loop iterative learning position regulation in detail.
详细分析了开闭环迭代学习位置调节下的直线伺服系统结构与数学模型。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
The establishment of mathematical model of PDAG algorithm, with the application of a learning matrix to the error data, proved the stability and convergence of PDAG algorithm in theory.
将学习矩阵作用于误差数据建立PDAG算法的数学模型，从理论上证明了PDAG算法的稳定性和收敛性。
The establishment of mathematical model of PDAG algorithm, with the application of a learning matrix to the error data, proved the stability and convergence of PDAG algorithm in theory.
将学习矩阵作用于误差数据建立PDAG算法的数学模型，从理论上证明了PDAG算法的稳定性和收敛性。
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