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» Practical Riemannian Neural Networks
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ESANN
2000
13 years 10 months ago
Confidence estimation methods for neural networks : a practical comparison
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
Georgios Papadopoulos, Peter J. Edwards, Alan F. M...

Book
7793views
15 years 6 months ago
Introduction to Neural Networks for C#
"Introduction to Neural Networks fpr C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures...
Jeff Heaton
ICONIP
2007
13 years 10 months ago
Practical Recurrent Learning (PRL) in the Discrete Time Domain
One of the authors has proposed a simple learning algorithm for recurrent neural networks, which requires computational cost and memory capacity in practical order O(n2 )[1]. The a...
Mohamad Faizal Bin Samsudin, Takeshi Hirose, Katsu...
ISNN
2007
Springer
14 years 2 months ago
Fast Code Detection Using High Speed Time Delay Neural Networks
This paper presents a new approach to speed up the operation of time delay neural networks for fast code detection. The entire data are collected together in a long vector and then...
Hazem M. El-Bakry, Nikos E. Mastorakis
ETD2000
1995
14 years 2 days ago
Automatic generation of a neural network architecture using evolutionary computation
This paper reports the application of evolutionary computation in the automatic generation of a neural network architecture.It is a usual practice to use trial and error to find a...
E. Vonk, Lakhmi C. Jain, L. P. J. Veelenturf, R. J...