MlpModel

MlpModel is carrying structure of Multilayer Perceptron Classifier, which consists of input, hidden and output layers. Visualization of MlpModel' structure can be seen below:

MlpModel can exists in three states:

1. Uninitialized - MlpModel is in this state before call to MLP_Init.
2. Not trained - MlpModel is initialized, but not trained. Next step to achieving a useful MlpModel is to pass it to MLP_Train.
3. Trained - MlpModel is ready to perform classification. It can be passed to MLP_Respond.

MlpModel can only be used with Multilayer Perceptron category filters. Who wants to use MLP to perform optical character recognition operation should use OcrMlpModel and suitable Optical Character Recognition filters.

MLP_Init, MLP_Train, MLP_Respond, Support Vector Machines