This applet illustrates the prediction capabilities of the multi-layer perceptrons. it allows to define an input signal on which prediction will be performed. The user can choose the number of input units, hidden units and output units, as well as the delay between the input series and the predicted output series. Then it is possible to observe interesting prediction properties.
annie is an ANN, ie, Artificial Neural Network library developed in C++. it can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.
The EM algorithm is short for Expectation-Maximization algorithm. it is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.
JPG Graph API
Win 32 JPG API is a 32bit JPEG api dll. You can call it to
show a JPG file in your program by only one sentence.
The only thing that you have to know is how to load a dll
libary and how to call ist functions. A example of Visual
FoxPro is supplied in package.
Rotating shafts experience a an elliptical motion called whirl. it is important to decompose this motion into a forward and backward whil orbits. The current function makes use of two sensors to generate a bi-directional spectrogram. The method can be extended to any time-frequency distribution
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％ compute the forward/backward Campbell/specgtrogram
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％ INPUT:
％ y (n x 2) each column is measured from a different sensor
％ ///////
％ __
％ |s1| y(:,1)
％ |__|
％ __
％ / \ ________|/
％ | | | s2 |/ y(:,2)
％ \____/ --------|/
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％ Fs Sampling frequnecy
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％ OUTPUT:
％ B spectrogram/Campbel diagram
％ x x-axis coordinate vector (time or Speed)
％ y y-axis coordinate vector (frequency [Hz])
