Sciweavers

209 search results - page 3 / 42
» A Feedforward Neural Network based on Multi-Valued Neurons
Sort
View
ISCAS
1995
IEEE
116views Hardware» more  ISCAS 1995»
13 years 9 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....
IJCNN
2006
IEEE
14 years 9 days ago
Durability of Affordable Neural Networks against Damages
— In this study, we address the durability of the brain, which is able to operate in various imperfect situations. In our previous research, we have proposed a new network struct...
Yoko Uwate, Yoshifumi Nishio, Ruedi Stoop
IJON
1998
82views more  IJON 1998»
13 years 6 months ago
Solving arithmetic problems using feed-forward neural networks
We design new feed-forward multi-layered neural networks which perform di erent elementary arithmetic operations, such as bit shifting, addition of N p-bit numbers, and multiplica...
Leonardo Franco, Sergio A. Cannas
ICANN
2005
Springer
13 years 11 months ago
Associative Learning in Hierarchical Self Organizing Learning Arrays
In this paper we introduce feedback based associative learning in self-organized learning arrays (SOLAR). SOLAR structures are hierarchically organized and have the ability to clas...
Janusz A. Starzyk, Zhen Zhu, Yue Li
NPL
2000
135views more  NPL 2000»
13 years 6 months ago
Towards the Optimal Learning Rate for Backpropagation
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
Danilo P. Mandic, Jonathon A. Chambers