Optical character recognition (OCR), facial recognition, and medical imaging diagnostics.
The simplest form of a neural network, consisting of a single layer of output nodes connected directly to inputs. It is primarily used for classifying linearly separable data. 2. Multi-Layer Feedforward Networks The authors provide ready-to-use algorithms for:
: The book includes solved examples and code files to help students implement neural network algorithms for classification and pattern recognition tasks. Note on "Extra Quality" PDFs % features T = double(sum(X)>
X = rand(2,500); % features T = double(sum(X)>1); % synthetic target hiddenSizes = [10 5]; net = patternnet(hiddenSizes); net.divideParam.trainRatio = 0.7; net.divideParam.valRatio = 0.15; net.divideParam.testRatio = 0.15; [net, tr] = train(net, X, T); Y = net(X); perf = perform(net, T, Y); net = patternnet(hiddenSizes)
The "extra quality" of this book lies in its direct application of MATLAB 6.0. The authors provide ready-to-use algorithms for: