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» An Energy Backpropagation Algorithm
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ISLPED
2003
ACM
138views Hardware» more  ISLPED 2003»
15 years 5 months ago
An environmental energy harvesting framework for sensor networks
Energy constrained systems such as sensor networks can increase their usable lifetimes by extracting energy from their environment. However, environmental energy will typically no...
Aman Kansal, Mani B. Srivastava
DAC
2005
ACM
16 years 22 days ago
System-level energy-efficient dynamic task scheduling
Dynamic voltage scaling (DVS) is a well-known low power design technique that reduces the processor energy by slowing down the DVS processor and stretching the task execution time...
Jianli Zhuo, Chaitali Chakrabarti
CVPR
1997
IEEE
16 years 1 months ago
Global Training of Document Processing Systems Using Graph Transformer Networks
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
Léon Bottou, Yoshua Bengio, Yann LeCun
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
102
Voted
FUZZY
1997
Springer
260views Fuzzy Logic» more  FUZZY 1997»
15 years 3 months ago
Forecasting Sales Using Neural Networks
Abstract. In this paper, neural networks trained with the back-propagation algorithm are applied to predict the future values of time series that consist of the weekly demand on it...
Frank M. Thiesing, Oliver Vornberger