What people are saying - Write a review
We haven't found any reviews in the usual places.
A Neurocomputational Approach
Particle Tracking by Deformable Templates
An Efficient HigherOrder Network for Pattern Classification
195 other sections not shown
Other editions - View all
accuracy adaptive algorithm analog analysis applications approach approximation architecture artificial neural network associated keywords backpropagation binary Boltzmann machine chip circuit classifier coefficients components compression computation convergence corresponding data set defined detection detector digits dynamic thesaurus error estimate example feature map feedforward Figure filter gradient gradient descent Hebbian hidden layer hidden units Hough transform IEEE IFDANN implementation input pattern input vector input-output Kohonen learning algorithm learning rule linear matrix measure method minimize MS-IFDANN multilayer perceptron neural net neurons nodes noise nonlinear NOUN-HUM obtained optimal output layer Parallel Distributed Processing parameters pattern recognition perceptron performance pixels problem Proc Projection Pursuit proposed recurrent neural networks regression segment self-organizing sensor shown signal simulated annealing simulation solution space step supervised learning synapses techniques test set threshold tracks training samples training set update values valve plate variables VLSI weight vector