资源列表
multisvm
- tish code is mulltisvm and sue in classification
Reserve-cluster-heads
- The realization of the algorithm about the Reserve cluster heads
TasksDotnet
- Tasks and Task Parallel Library (TPL) : Multi-threading made easy-Introduction It had been really long since Tasks got released as part of .Net framework class library (FCL) as a wrapper over thread-pool threads. Now Microsoft strongly recommends
neural-network-arithmetic
- Neural network related applications
dome
- 高速球型摄像机:高速球采用“精密微分步进电机”实现高速球的快速、准确的定位、旋转；将摄像机叠加了OSD菜单的图像传输出来。通信系统连接上位机和MCU，实现操作者对云台和摄像机的控制。-High speed ball type video camera: high speed ball using precision differential stepper motor to achieve high-speed ball fast, accurate positioning, rotatio
wave
- 对图像进行小波分解,进行小波去噪，并比较其和均值滤波、中值滤波、高斯滤波、维纳滤波的去噪效果。-The image wavelet decomposition, wavelet denoising and compared and mean filtering, median filtering, Gaussian filtering, Wiener filtering denoising effect.
wenzhoumj
- 温州麻将，服务端，客户端源码,包含了资源文件-wenzhoumajiang game for netfox
Neuronal_net_src
- Neuronal.NET - An Easy Implementation of Neuronal Networks-Introduction This article is going to explain how you can implement an easy to use neuronal network with the example of character recognition. You need 3 things for a neuronal network:
GeneticAlgorithm
- AI - Simple Genetic Algorithm (GA) to solve a card problem-Introduction This article describes how to solve a logic problem using a Genetic Algorithm. It assumes no prior knowledge of GAs. In fact, half of this article is dedicated to explaining th
msjg
- 水利工程马斯京根法洪水演算程序，模块化编程，内含3个关键函数，x、k率定方法采用直接率定方法，速度更快。-Mas root method for flood routing procedures, modular programming, it contains three key function, x, k rate method using direct rate, faster.
code_exe
- Searching for shared motif between strings in C- Searching for shared motif between strings in C Amir Mohammad Nasrollahi, 30 Jan 2015 CPOL 4.50 (2 votes) Rate: vote 1vote 2vote 3vote 4vote 5 In this article, i consider the pr
accord-hmm-source
- Hidden Markov Models in C#-Introduction Hidden Markov Models were first described in a series of statistical papers by Leonard E. Baum and other authors in the second half of the 1960s. One of the first applications of HMMs was speech recognition,