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书籍源码 Tug of War(A tug of war is to be arranged at the local office picnic. For the tug of war, the picnic
Tug of War(A tug of war is to be arranged at the local office picnic. For the tug of war, the picnickers must be divided into two teams. Each person must be on one team or the other the number of people on the two teams must not differ by more than 1 the total weight of the people on each team shoul ...
单片机开发 这个SHT11非常全
这个SHT11非常全，含有 SHT11avr程序.c，SHT11程序C51驱动.zip，SHT11程序C51驱动注解.pdf，SHTxx.c，sht故障排除.pdf，SHT焊接要求.pdf，SHT引脚.pdf-This SHT11 very wide, containing SHT11avr procedures. C, SHT11 procedures C51 driver. Zip, SHT11 procedures C51-driven annotation. Pdf, SHTxx.c, sht troublesho ...
书籍 Modern_Control_Theory
The main aim of this book is to present a unified, systematic description of
basic and advanced problems, methods and algorithms of the modern con-
trol theory considered as a foundation for the design of computer control
and management systems. The scope of the book differs considerably from
the to ...
人工智能/神经网络 On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl
On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and deta ...
matlab例程 In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve r
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: ...
数学计算 This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, N ...
数学计算 This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that n ...
通讯/手机编程 一款用JAVA制作开发的小型聊天软件
一款用JAVA制作开发的小型聊天软件，里面附有安装程序和JAVA源代码。
Visual Chat 1.91 Developer Edition
- Customize the Visual Chat code regarding your own requirements
- Use customchatdev.html for developing / testing
- Create .jar and .cab-files containing client-specific .class-files and the images- ...
matlab例程 OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented i
OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.
9:62-66 1979). Thre ...
论文 锂硫电池隔膜
Lithium–sulfur batteries are a promising energy-storage technology due to their relatively low cost and high theoretical energy density. However, one of their major technical problems is the shuttling of soluble polysulfides between electrodes, resulting in rapid capacity fading. Here, we present ...