Stochastic Neural Computation II: Soft Competitive Learning
IEEE Transactions on Computers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semi-supervised dynamic counter propagation network
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
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A new type of neural network for recognition tasks is presented. The network, called the dynamic supervised forward-propagation network (DSFPN), is based on the forward only version of the counterpropagation network (CPN). The DSFPN, trains using a supervised algorithm and can grow dynamically during training, allowing subclasses in the training data to be learnt in an unsupervised manner. It is shown to train in times comparable to the CPN while giving better classification accuracies than the popular backpropagation network. Both Fourier descriptors and wavelet descriptors are used for image preprocessing and the wavelets are proven to give a far better performance