资源列表
para4
- 模式识别和智能计算第4章程序，可以直接运用，欢迎大家使用-Pattern recognition and intelligent computing program in Chapter 4, you can directly use, welcome everyone to use
para6
- 模式识别和智能计算第6章程序，可以直接运用，欢迎下载-Pattern recognition and intelligent computing program in Chapter 6, you can directly apply, please download
para7
- 模式识别和智能计算第7章程序，可以直接运用，欢迎下载-Pattern Recognition and Intelligent Computing Chapter 7 program, you can directly apply, please download
para8
- 模式识别和智能计算第8章程序，可以直接运用，欢迎下载-Pattern Recognition and Intelligent Computing Section 8 program, you can directly apply, please download
udt_2015_hmm_paper_final-(14)
- 利用HMM进行多目标跟踪的最新研究成果，详尽介绍了跟踪几部分的解法，并对比现有的跟踪产品-HMM use multiple target tracking the latest research results, detailed descr iptions of several parts tracking solution, and compare the existing tracking products
jcsqx
- 介绍近场声全息的参考资料，其中格林函数对全息效果的影响是比较好的参考，有助于对全息的理解-Introduction nah reference materials, which affect the Green' s function of holographic effect is relatively good reference, contribute to the understanding of holography
GA
- 遗传算法求解无约束目标函数，包含选择操作，变异操作，杂交操作，以及将十进制转化为二进制的编码操作-Genetic Algorithm unconstrained objective function comprises selecting operation, mutation, crossover operation, and will be converted to binary coded decimal operation
1562_zh
- 人工神经网络源码,用于分析证券市场的人工神经网络源码- Artificial neural network source Stock Market Analysis for Neural network source
STC
- 视频目标跟踪 时空上下文算法 STC 原文作者源码-Fast Traking via Spatio-Temporal Context Learning
ICTCLAS
- 中科院的中文分词系统ICTCLAS，eclipse直接引入项目就可以用，已经测试过很好用的。- Chinese Academy of Sciences Chinese word breaker ICTCLAS, eclipse introduced directly into the project can be used, it has been tested very good use.
Kalman
- MIT博士后Kevin Murphy提供了一个针对卡尔曼滤波的MATLAB工具箱，包含了功能、描述、各种典型滤波器，如粒子滤波、扩展卡尔曼滤波器和无味卡尔曼滤波器等-Kevin Murphy, a postdoc in the MIT AI Lab, provides several MatLab toolboxes, including a Kalman filter toolbox which contains functions and scr ipts for the Kalman fi
firnet
- 有限脉冲神经网络MATLAB源码，由波兰国立大学生物医药信号处理实验室提供。FIR 神经网络属于一种BP神经网络。-Finite Impulse Response (FIR) neural network models each synapse as a linear filter to provide dynamic interconnectivity. Temporal backpropagation is used to train the network in which error t