资源列表
Quantization-Vector
- Image Vector quantization
Quantization-Scalar
- Image Scalar Quantization
bagging
- bagging算法的R语言实现，完整代码，运行速度较快-bagging algorithm R language, the complete code to run faster
decision-making-tree
- 决策树的Python代码实现，要所报内含原数据-Decision Tree Python code, containing the original data to be reported
BTree
- 基础JAVA语言的B树索引算法的具体代码实现细节-JAVA language specific code base B-tree indexing algorithm implementation details
Forward_Channel_simu_IS_95_standrd_sys
- This packet is a IS-95 baseband simulation for 1 data channel of 9.6 KBps rate. The simulation is written for static channel and AWGN noise. The packet include: 1) Packet Builder (Viterbi Encoding, Interleaver, PN generation) 2) Modulator (R
deSNN
- 一个关于脉冲时间编码神经网络的deSNN算法程序-An algorithm of deSNN
dianyaqiankui
- 电流控制，利用电压前馈补偿控制，有锁相环，单相并网控制系统。亲自测试，修改，可以仿真。希望对大家学习并网有用。-Current control, the use of voltage feedforward compensation control, phase-locked loop, and single-phase network control system.
LDA-topic-model
- 首先声明，这是别人写的LDA主题模型代码，本人测试过，可以运行，但是输出跟输出有点不尽人意，输入的是词的序号和该词在文档中出现的次数，要是可以直接读取文档就完美了。输出是主题以及词在该主题出现的概率，其中得到的主题我就看不懂了，不知道是算法问题，还是因为我的水平有限。在研究LDA主题模型的朋友，可以下载试一下-First statement, which is written by someone else LDA topic model code, I tested, you can run,
rengongfengqungaijin
- 人工蜂群算法改进源程序,它不同于一般的蜂群算法，收敛更快-Artificial bee colony algorithm to improve the source code, which is different the general colony algorithm converges faster
shiyingduhanshu
- 蜂群算法计算适应度函数，它有利于初学者对人工蜂群算法的学习-Colony algorithm fitness function, it is conducive to beginners learning artificial bee colony algorithm
algorithm-based-on-virtual-force
- 基于虚拟力的自组织覆盖算法，实现无线传感器节点在二维平面的有效覆盖，提高节点的覆盖效率和均匀度。-Based on the virtual force of the self- organization covering algorithm, the realization of the wireless sensor nodes in the two-dimensional plane of the effective coverage, improve the efficiency and