Description: 细胞神经网络(CNN)GUI源代码
细胞神经网络(CNN)是一种和人类神经网络非常相似的并行计算模型，各个邻接节点间有不同的通信。在本程序中A模型是反馈矩阵，B是控制矩阵。
-Cellular neural network (CNN) GUI source code for cellular neural network (CNN) is a human neural network is very similar to the parallel computing model, all adjacent nodes have different communication. In this process, the feedback matrix A model, B is the control matrix. Platform: |
Size: 51200 |
Author:lcp |
Hits:
Description: Matlab 自2008版本后可以进行并行运算，充分利用CPU资源，这里给出具体进行多核心运算的设置和并行计算工具箱说明-Since the 2008 version of Matlab parallel computing can take full advantage of CPU resources, here to give a specific set of multi-core computing and parallel computing toolbox description Platform: |
Size: 61440 |
Author:gprs |
Hits:
Description: PSOM是一种工具来管理在一个会议或在并行计算环境，Matlab或倍频，管道。-PSOM is a tool to manage pipelines in Matlab or Octave, both within a single session or within a parallel computing environment. Platform: |
Size: 64512 |
Author:我的名 |
Hits:
Description: ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available)
Information gain is defined as:
InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute)
Gain ratio is defined as:
GainRatio(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).
...where H is the entropy, defined as - sum(i=1 to k) pi log2 pi-ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available)
Information gain is defined as:
InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute)
Gain ratio is defined as:
GainRatio(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).
...where H is the entropy, defined as - sum(i=1 to k) pi log2 pi
Platform: |
Size: 3072 |
Author:agkj |
Hits:
Description: In this webinar you will learn how you can use Parallel Computing Toolbox™ to speed up MATLAB applications by using hardware you already have. You will learn how minimal programming efforts can speed up your applications on widely available desktop systems equipped with multicore processors and GPUs.-In this webinar you will learn how you can use Parallel Computing Toolbox™ to speed up MATLAB applications by using hardware you already have. You will learn how minimal programming efforts can speed up your applications on widely available desktop systems equipped with multicore processors and GPUs. Platform: |
Size: 27264000 |
Author:mingi, kim |
Hits:
Description: 本电子书介绍了Matlab中的并行工具箱使用方法，适合初学Matlab并行编程的人员学习-This book describes the parallel Matlab toolbox to use for beginners to learn Matlab parallel programming Platform: |
Size: 622592 |
Author:卢宁 |
Hits:
Description: MATLAB并行计算和分布式计算的操作方法。包括Windows系统和Linux系统。-MATLAB parallel computing and distributed computing in both Windows and Linux. Platform: |
Size: 1275904 |
Author:BaiGe |
Hits:
Description: matlab并行处理的说明书，全英文的，里面讲的非常全面-matlab parallel processing manual, full English, which was about a very comprehensive Platform: |
Size: 2018304 |
Author:love |
Hits:
Description: matlab并行计算的工具箱，并行计算的一个简单例子，还有一个distcomp工具箱配置及编程指南-matlab parallel computing toolbox, a simple example of parallel computing, there is a distcomp toolbox configuration and programming guide Platform: |
Size: 2693120 |
Author:许方家 |
Hits:
Description: 多核计算平台中MATLAB 并行计算，可以以较高的级别在 MATLAB 中执行任务及数据并行算法，而无需为特定的硬件和网络架构编写程序。-MATLAB parallel computing in multi core computing platform can perform tasks and data parallel algorithms in MATLAB, without the need for specific hardware and network architecture. Platform: |
Size: 61440 |
Author:xujuncai |
Hits:
Description: 这是实现MATLAB并行配置的技术资料，随着大数据时代的到来，越来越多的数据需要经过处理，并且目前的硬件已经满足不了这么多的数据的处理，因此并行计算成为了首选-This is the realization of technical information MATLAB parallel configuration, with the arrival of the era of big data, more data needs to be processed, and the current hardware has failed to meet so many data processing, parallel computing has become the preferred therefore Platform: |
Size: 585728 |
Author:sysk |
Hits:
Search - MATLAB Parallel Computing