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DSS
2006
118views more  DSS 2006»
13 years 10 months ago
Part family formation through fuzzy ART2 neural network
In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks' recognition, the present study is dedicated in developing a n...
R. J. Kuo, Y. T. Su, C. Y. Chiu, Kai-Ying Chen, Fa...
IJCNN
2008
IEEE
14 years 4 months ago
Airport noise simulation using neural networks
— Aircraft noise is influenced by many complex factors and it is difficult to devise an accurate mathematical model to simulate it with respect to operations at an airport. Thi...
Yingjie Yang, Chris J. Hinde, David Gillingwater
CDES
2006
146views Hardware» more  CDES 2006»
13 years 11 months ago
ANN-Based Spiral Inductor Parameter Extraction and Layout Re-Design
A neural network approach is presented for modeling and characterization of on-chip copper spiral inductors. The approach involves the creation of neural network models to map 3D ...
Abby A. Ilumoka, Yeonbum Park
NECO
2007
150views more  NECO 2007»
13 years 9 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
APIN
1998
139views more  APIN 1998»
13 years 9 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara