- network this a program for training the for destinguish between numbers depending on features of the numbers these features are the defferent kinds of edges in six parts of the number picture
- Float_point 浮点数加/减法器的设计 规格化的浮点数运算器 IEEE标准754 单精度
- my-last 这是用于在flightgear的一个自建飞行器几何模型
- userlcdser_54 利用实验箱的模拟信号产生单元产生不同频率的信号
- RTD2120_v102_confidential1 Realtek公司Monitor方案RT2120芯片规格书
- CuckooOptimizationAlgorithm 布谷鸟算法的matlab算法实现
资源列表
medical
- 用CNN实现的疾病预测模块，输入症状描述就可以对疾病进行预测。-predict the disece using convolution neural network
Sparse-coding-package-
- 关于稀疏编码的matlab代码包，里面有先关说明，以及引用出处。-sparse coding matlab code
SteadyWinnerV3forSmallAccounts
- SteadyWinnerV3forSmallAccounts.ex4,Stable profit,MT4，稳定获利-SteadyWinnerV3forSmallAccounts.ex4,Stable profit,MT4 Stable profit
fuzzy-control-robot
- 该源程序用于研究单力臂机械手间接自适应模糊控制，提供源代码-The source program is used for the single arm manipulator indirect adaptive fuzzy control, to provide the source code
PSO_LSSVM
- 粒子群优化最小二乘支持向量机的代码。内附测试数据可直接套用。-PSO least squares support vector machine code. Enclosing the test data can be directly applied.
kernel_matrix
- 超限学习机应用部分的内容，用于生成核函数的矩阵变量欧米伽。-Machine learning content overrun part of the matrix variable is used to generate kernels Omega.
cnn
- 卷积神经网络（cnn）的练习程序，包含多个exercise-convolutional nerual network
ANN
- 先用BP神经网络算法对国民经济生产总值做预测，然后用灰色预测模型GM(1,1)做预测，最后将两者结合建立组合预测模型。-Firstly,the BP artificial neural network algorithm to predict the GDP and then construct the GM(1,1) model,at last build out the combined model to predict the GDP int the future.
PsoANN
- 微粒群算法结合神经网络进行建筑能耗预测,有效的提高了预测精度，但是延长了运算时间-building energy consumption prediction using particle swarm optimization and artificial neural networks
simmg1
- 基于Matlab平台的排队论中M/G/1模型的实现 源代码-Matlab platform based on queuing theory in M/G/1 model realization source code
混沌时间序列关联积分求解
- 生成Lorenz时间序列，运用GP算法计算关联维数
Non_manuver_4targets_PHD
- 本文是实现PHD滤波的程序代码，内带有该文章。用于仿真多目标杂波环境下对目标的跟踪与估计-This is the realization of PHD filtering program code with the article within. Clutter Simulation multi-target environment for target tracking and estimation for