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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 ...
人工智能/神经网络 模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern recog
模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern
recognition and learning theory are reviewed in a two-class
pattern classification setting. This basic model best illustrates
intuition and analysis techniques while still contain ...
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: ...
单片机开发 Expert PID Controller
Expert PID Controller，Fuzzy Tunning PID Control，ingle Neural Adaptive PID Controller
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 ...
其他 aiNet application is a very powerful and a very simple tool for solving the problems which are usual
aiNet application is a very powerful and a very simple tool for solving the problems which are usually solved with artificial neural networks (ANN). All possible tests we had run proved that the results obtained with aiNet are at least as good as the results obtained with some other ANNs. Let us sta ...
Java编程 s file contains the Joone Distributed training Environment (DTE). See http://www.jooneworld.com/doc
s file contains the Joone Distributed training Environment (DTE).
See http://www.jooneworld.com/docs/dte.html to learn more about it.
To learn more about Joone - Java Object Oriented Neural Engine: http://www.joone.org
Joone and the DTE are both released with the LGPL license
@2004 Paolo Marrone a ...
人工智能/神经网络 本人编写的incremental 随机神经元网络算法
本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。
具体效果可参考
G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networ ...
其他书籍 Tricks of the Windows Game Programmin Gurus, 2E takes the reader through Win32 programming, covering
Tricks of the Windows Game Programmin Gurus, 2E takes the reader through Win32 programming, covering all the major components of DirectX including DirectDraw, DirectSound, DirectInput (including Force Feedback), and DirectMusic. Andre teaches the reader 2D graphics and rasterization techniques. Fina ...
人工智能/神经网络 C++实现神经网路的bp算法
C++实现神经网路的bp算法，初学者可以参考下
BP algorithm of neural network s achievement based on c++, maybe it is useful to a new learner