The biological brain is completely different from the von Neumann architecture implemented in modern computers. ANNs attempt to mimic some characteristics of biological neural networks. In ANNs, information is stored in the synaptic connections. A. K. Jain and J. Mao. One of the backprop s main drawbacks, though, is that it tends to be very computationally complex and is time consuming to train.
Classifier can be parametric or nonparametric.
For such classifiers, feature sets larger than 100 are considered extremely large. Document classification may require more than 50,000. There are several types of neural network architectures described in the literature including Hopfield, multilayer perceptron and ART networks. Amongst these different kinds of networks, the simplest model is that of a perceptron shown in Figure 1. For this reason, MLPs are commonly used in many pattern recognition applications.