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» Hardware Implementations of Artificial Neural Networks
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IJCNN
2008
IEEE
14 years 2 months ago
Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications
— In this work we show that a metaheuristic, the Variable Neighborhood Search (VNS), can be effectively used in order to improve the performance of the hardware–friendly versio...
Enrique Alba, Davide Anguita, Alessandro Ghio, San...
CEC
2005
IEEE
13 years 9 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
GEM
2009
13 years 5 months ago
Evolutionary Methods in Self-organizing System Design
Self-organizing systems could serve as a solution for many technical problems where properties like robustness, scalability, and adaptability are required. However, despite all the...
Istvan Fehervari, Wilfried Elmenreich
FPL
2009
Springer
161views Hardware» more  FPL 2009»
14 years 8 days ago
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
Daniel L. Ly, Paul Chow
SBRN
2008
IEEE
14 years 2 months ago
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach
In this work, we propose to use the Zoomed-Ranking approach to ranking and selecting Artificial Neural Network (ANN) models for time series forecasting. Given a time series to fo...
Patrícia M. Santos, Teresa Bernarda Ludermi...