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ISCAS
1995
IEEE
116views Hardware» more  ISCAS 1995»
13 years 8 months ago
Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons
This paper proposes a multilevel logic approach to output coding using multilevel neurons in the output layer. Training convergence for a single multilevel perceptron is considere...
Aleksander Malinowski, Tomasz J. Cholewo, Jacek M....
ISNN
2004
Springer
13 years 10 months ago
Robust Adaptive Control Using Neural Networks and Projection
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
Xiaoou Li, Wen Yu
CEC
2007
IEEE
13 years 11 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
ANSS
1998
IEEE
13 years 9 months ago
On Interval Weighted Three-Layer Neural Networks
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
Mohsen Beheshti, Ali Berrached, André de Ko...