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JDCTA
2010
155views more  JDCTA 2010»
15 years 1 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao
ECRTS
2005
IEEE
16 years 2 hour ago
Cache Contents Selection for Statically-Locked Instruction Caches: An Algorithm Comparison
Cache memories have been extensively used to bridge the gap between high speed processors and relatively slower main memories. However, they are sources of predictability problems...
Antonio Martí Campoy, Isabelle Puaut, Angel...
ICTAI
2005
IEEE
15 years 12 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
ICANN
2003
Springer
15 years 11 months ago
Meta-learning for Fast Incremental Learning
Model based learning systems usually face to a problem of forgetting as a result of the incremental learning of new instances. Normally, the systems have to re-learn past instances...
Takayuki Oohira, Koichiro Yamauchi, Takashi Omori
ASPDAC
2007
ACM
156views Hardware» more  ASPDAC 2007»
15 years 10 months ago
PLLSim - An Ultra Fast Bang-Bang Phase Locked Loop Simulation Tool
- This paper presents a simulation tool targeted specifically at bang-bang type phase locked loop systems. The aim of this simulator is to quickly and accurately predict important ...
Michael Chan, Adam Postula, Yong Ding