206 search results - page 6 / 42 » Automated neuron model optimization techniques: a review |
DLOG
2000
13 years 8 months ago
2000
In this paper, we demonstrate that the main standard optimization techniques dependency directed backtracking and model merging can be adapted to description logics with concrete ...
ECAL
2001
Springer
13 years 12 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
EICS
2010
ACM
13 years 4 months ago
2010
ACM
We propose an automated routine for hierarchical menu structure optimization. A computer advice-giving system founded on the mathematical model of menu navigation directs the desi...
IPPS
2010
IEEE
13 years 5 months ago
2010
IEEE
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
DAC
2004
ACM
14 years 8 months ago
2004
ACM
A tool that automates the floating-point to fixed-point conversion (FFC) process for digital signal processing systems is described. The tool automatically optimizes fixed-point d...