Design of radial basis probabilistic neural network
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I want to design a RBPNN for pattern recognition using the recursive orthogonal least squares for training weights output and selecting hidden centers in the first hidden layer. I don't know to write this code. I have in input layer two neurons that represent the coordinates of the points, and I have five classes that I want to classify.Help me! Thanks!
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