Neural Networks with R

Taxonomy of neural networks

The basic foundation for ANNs is the same, but various neural network models have been designed during its evolution. The following are a few of the ANN models:

• Adaptive Linear Element (ADALINE), is a simple perceptron which can solve only linear problems. Each neuron takes the weighted linear sum of the inputs and passes it to a bi-polar function, which either produces a +1 or -1 depending on the sum. The function checks the sum of the inputs passed and if the net is >= 0, it is +1, else it is -1.
• Multiple ADALINEs (MADALINE), is a multilayer network of ADALINE units.
• Perceptrons are single layer neural networks (single neuron or unit), where the input is multidimensional (vector) and the output is a function ...