DATA MINING TECHNIQUE WITH CROSSBREEDING NEURAL NETWORK: LVQ AND HOPFIELD

Abstract

Neural network is a collection of “neurons”
which send “signals” to produce an output.
Human brain contains approximately 100
billion neurons. One neuron may be connected
with more than 10,000 other neurons. The
main part of our body is Brain which sends
the signals in form of the neurons and again
achieves the output. In this paper we want to
try a combined approach with Linear Vector
Quantization and Hopfield neural network to
implement the new data mining techniques.
There are so many data mining techniques
which is used by different types of neural
network such as multilevel neural network,
Back propagation neural network.