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Design of Supervised Classifiers Using Boolean
A Link Between
A Neural NetworkBased Predictor for MIMO
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accuracy activation adaptive analysis application approach Artificial Neural Networks backpropagation binary classification cluster CMAC components Computer convergence data set defined defuzzification delta rule detection distribution dynamic Engineering equation error estimate evaluation experiments fault feature feedforward feedforward neural network fuzzy fuzzy logic fuzzy set given gradient gradient descent hidden layer hidden units Hopfield network hybrid identified IEEE implementation initial input pattern input vector iterations Kohonen learning algorithm learning rate linear machine mapping matrix measure method minimize multilayer Neocognitron network architecture neurons noise nonlinear normalized obtained operation optimal output layer output node paper Parallel Distributed Processing parameters pattern recognition perceptron performance prediction problem random represents robot rule Rumelhart samples selected sensor shown in Figure signal simulation solution space structure supervised learning target techniques threshold training data training set trajectory update values variables weight vector