Title :
Neural network structures for EM/microwave modeling
Author :
Zhang, Q.J. ; Wang, F. ; Devabhaktuni, V.K.
Author_Institution :
Dept. of Electron., Carleton Univ., Ottawa, Ont., Canada
Abstract :
Neural networks have gained attention as a fast and flexible vehicle to EM/microwave modeling, simulation and optimization. Neural network device/circuit models can be used during EM/microwave design to provide instant answers. The structure of the neural network influences factors such as training data and training time required, and the accuracy that could be achieved. This paper discusses various microwave-oriented neural network structures.
Keywords :
circuit CAD; circuit analysis computing; circuit optimisation; circuit simulation; feedforward neural nets; learning (artificial intelligence); microwave circuits; multilayer perceptrons; self-organising feature maps; EM/microwave design; EM/microwave modeling; feedforward neural networks; hierarchical neural network; multilayer perceptron; neural network device/circuit models; neural network structures; optimization; self organizing maps; simulation; training data; training time; Data preprocessing; Neodymium; Neural networks; Neurons; Radial basis function networks; Training data;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1999. IEEE
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-5639-x
DOI :
10.1109/APS.1999.789335
