Title :
Hierarchical competitive net architecture
Author :
Long, Theresa W. ; Hanzevack, Emil L.
Author_Institution :
NeuroDyne Inc., Williamsburg, VA, USA
Abstract :
Hypersonic aircraft require a high degree of system integration. Design tools are needed that can provide rapid, accurate calculations of complex fluid flow. Existing methods are slow. The goal of this project was to apply neural networks to the calculation of fluid flow and heat transfer in a heat exchanger panel for the National AeroSpace Plane (NASP)
Keywords :
CAD; aerospace computing; aircraft; heat exchangers; heat transfer; neural nets; NASP; National AeroSpace Plane; complex fluid flow; heat exchanger panel; heat transfer; hierarchical competitive net architecture; hypersonic aircraft; neural networks; system integration;
Conference_Titel :
Advances in Neural Networks for Control and Systems, IEE Colloquium on
Conference_Location :
Berlin
