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» An Energy Backpropagation Algorithm
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67
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ICANN
2009
Springer
15 years 6 months ago
Almost Random Projection Machine
Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generati...
Wlodzislaw Duch, Tomasz Maszczyk
NIPS
2007
15 years 1 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
Ruslan Salakhutdinov, Geoffrey E. Hinton
92
Voted
ESANN
2004
15 years 1 months ago
A sliding mode controller using neural networks for robot manipulator
Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
Hajoon Lee, Dongkyung Nam, Cheol Hoon Park
71
Voted
ESANN
2001
15 years 1 months ago
Weight initialization methods for multilayer feedforward
In this paper, we present the results of an experimental comparison among seven different weight initialization methods in twelve different problems. The comparison is performed by...
Mercedes Fernández-Redondo, Carlos Hern&aac...
110
Voted
JCP
2008
155views more  JCP 2008»
14 years 11 months ago
Algorithm to Optimize Code Size and Energy Consumption in Real Time Embedded System
Processor is an important computing element in portable battery operated real time embedded system and it consumes most of the battery energy. Energy consumption, processor memory ...
Santosh D. Chede, Kishore D. Kulat