搜索资源列表
ACMRAS
- 基于MARS的PMSM无速度传感器矢量控制系统研究-MARS-based speed sensorless PMSM vector control system
pso
- 求解多维无约束优化问题，收敛速度快，程序代码简洁。-Solving multi-dimensional unconstrained optimization problem, fast convergence, concise code.
nondelayed-neural-networks
- 本程序画无时滞的混沌神经网络,本程序简单而且运算速度很快.-The painting process without time-delay chaotic neural network, this process simple and fast operation.
new
- 机器学习算法决策树是基于机器学习的数据挖掘技术,它形式简单,分类速度快,无需先验知识,对样本分布也无要求且由决策树表达的规则直观清晰。-machine learning decision Tree
FLO
- 基于粒子群优化算法的无源模拟滤波器优化设计方法容易陷入局部最优,收敛速度慢迭代次数多、运算量大且稳定性不够好。提出果蝇优化算法对滤波器的整个参数空间进行高效并行搜索直到获得最优的参数值,实例仿真表明,采用该方法设计的滤波器在相同的带宽准确度及阻带衰减的情况下,具有更快的运算速度及收敛性能。-Passive analog filter optimization algorithm based on particle swarm optimization design method is easy
2013-06-30-06ICS
- 设计了免疫克隆选择算法ICS整定自抗扰控制参数的程序，并在无刷直流电动机速度控制上得到验证，程序简单可行，结果良好。-Immune clonal selection algorithm is designed ICS ADRC tuning parameters of the procedure, and in the brushless DC motor speed control is verified, the procedure is simple and feasible, with
mrvm
- 多分类相关向量机程序，有运行demo，运行速度快，无bug-More relevance vector machine classification procedures, run demo
SSELM-and-USELM
- 半监督核无监督极限学习机，用于半监督核无监督学习，比传统方法速度略快，且可以直接应用多分类问题-A semi-supervised nuclear unsupervised extreme learning machine, used for a semi-supervised kernel unsupervised learning, slightly faster than the traditional methods, and can direct application classif