搜索资源列表
c++实现的KNN库:建立高维度的K-d tree
- c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation. It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
knn
- knn (k-nearest neighbor)用c++实现的近邻算法-knn (k-nearest neighbor) algorithm
fuz_pid
- 模糊控制部分的源代码。模糊PID控制器结构改变固定参数KP,KI,KD的控制策略-Fuzzy control part of the source code. Fuzzy PID controller structure change fixed parameters KP, KI, KD control strategy
PID-control-based-BP
- 用一个多层前向神经网络，采用反向传播算法依据控制要求实时输出Kp、Ki、Kd，依次作为PID控制器的实时参数，代替传统PID参数靠经验的人工整定和工程整定，以达到对大迟延主气温系统的良好控制。-We use a multilayer feedforward neural network using back propagation algorithm and based on control requirements.This net can real-time output Kp, Ki, K
fuzzy-PID
- 模糊PID控制器具有控制任意非线性函数的能力，能实现对PID控制器的参数Kp, Ki, Kd的实时在线整定，使系统具有更好的鲁棒性和自适应性，其输出也可以通过在线调整达到预期的控制精度。-Fuzzy PID controller has the ability to control an arbitrary nonlinear function, can achieve the parameters of the PID controller Kp, Ki, Kd,
kp-kd-ki
- 基于控制系统中PID控制系统参数优化，使PID参数设置更为合理-Control system based on parameter optimization of PID control system, the PID parameters are more reasonable
2007518203554756
- 一个用simulink做的模糊PID自适应系统，通过三个模糊FIS：dkp,dki,dkd来分别控制Kp,Ki,Kd，以达到PID参数可自动调整的目的。--A simulink do with self-adaptive fuzzy PID system, through three fuzzy FIS: dkp, dki, dkd to control the Kp, Ki, Kd, in order to achieve automatic adjustment of PID paramet
ANN_1.1.2(Newest-Vision-2010-1-27)-
- ANN是一个构造数据索引结果的程序，可以实现最近邻、KD树等功能。ANN is designed for data sets that are small enough that the search structure can be stored in main memory (in contrast to approaches from databases that assume that the data resides in secondary storage). Points ar
kdTree
- 最近邻算法的构建，构造kd-tree。是统计学习方法中的经典方法。是其源码实现。-Nearest neighbor algorithm, constructed kd-tree. The classical method is a statistical learning method. Its source code to achieve.
kdtree
- KD-Tree的c++实现，并有文档详细介绍了KD-Tree的实现算法。-KD-Tree of c++ implementation, detailing the implementation of the KD-Tree algorithm.
kd-tree
- K-D树的应用文档，适合对K-D树深入学习的同学。文献对K-D树现状和应用有一定的描述-K- D tree application document, suitable for students to K- D tree in-depth study. Literature on K- D describes the present situation and application of a certain tree
kdtree-realization
- K-d树实现。采用matalb和C++混合编译的方式实现。-kdtree provides a minimalistic implementation of kd-tree. The implementation can be used either inside MATLAB by means of MEX calls, or as a standalone tool, directly a C/C++ program.