Incorporating data mining and computer graphics for modeling of neural networks

Abstract

Provides a background on the concepts and development of data mining and data warehousing that need to be known by students and educators. Then discusses the applications of data mining for the construction of graphical mappings of the sensory space as a two‐dimensional neural network grid as well as the traveling salesman problem (TSP) and simulated annealing. Data mining is also used as a tool for the construction of computer graphics as solutions to the TSP and also for the activation of an output neuron for a three‐layer feed‐forward network that is trained using a Boolean function. Conclusions and future directions of the research are also discussed.

Citation

Segall, R.S. (2004), "Incorporating data mining and computer graphics for modeling of neural networks", Kybernetes, Vol. 33 No. 8, pp. 1258-1276. https://doi.org/10.1108/03684920410545252