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Clusters of Chained Neural Architectures
Modular Neural Networks for Function Approximation
A Constructive Algorithm for S O M Applied to Water Quality
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ABSTRACT activation adaptive analysis applications approach approximation architecture Artificial Neural Networks B-Spline backpropagation binary cell classification cluster coefficients components convergence Correlation Dimension corresponding crossover data set defined dimension distribution dynamics Engineering equation error estimation evaluation feature feature extraction filter fractal fractal dimension frequency fuzzy controller fuzzy logic fuzzy set genetic algorithm hidden layer hidden units identification IEEE IEEE Trans implementation increasing input pattern iterations Kohonen learning algorithm linear matrix membership functions membrane potential memory method module neural network model neurons nodes nonlinear obtained operation optimal output layer paper parameters pattern recognition performance phase pixels points potential prediction problem proposed protein ratio representation represented Rumelhart samples scheme segmentation selected sequence shown in Figure shows sigmoid sigmoid function signal simulation space structure supervised learning techniques threshold training set updated values variables vector wavelet transform weights