Common topologies for the
Common topologies for these include recurrent and layered feed forward, though more complex varieties of the latter can include units in hidden layers, producing a multilayer perceptron. In order to minimize error in their output, various algorithms such as back propagation and conjugate gradient descent are used to set optimal thresholds and weights, thus training each node. For 10 points, name this highly parallel type of computation that is used in artificial intelligence and pattern recognition and is inspired by biological systems.
Common topologies for these include recurrent and layered feed forward, though more complex varieties of the latter can include units in hidden layers, producing a multilayer perceptron.
{neural network}