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» Modeling spiking neural networks
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DCC
2010
IEEE
15 years 5 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
NN
2006
Springer
15 years 6 months ago
Speed-accuracy trade-off in planned arm movements with delayed feedback
The Vector Integration to Endpoint (VITE) circuit describes a real-time neural network model simulating behavioral and neurobiological properties of planned arm and hand movements...
Dan Beamish, I. Scott MacKenzie, Jianhong Wu
IWANN
2009
Springer
15 years 11 months ago
A Soft Computing System to Perform Face Milling Operations
In this paper we present a soft computing system developed to optimize the face milling operation under High Speed conditions in the manufacture of steel components like molds with...
Raquel Redondo, Pedro Santos, Andrés Bustil...
IEAAIE
2005
Springer
16 years 2 days ago
Predicting Construction Litigation Outcome Using Particle Swarm Optimization
Construction claims are normally affected by a large number of complex and interrelated factors. It is highly desirable for the parties to a dispute to know with some certainty how...
Kwok-wing Chau
WSTST
2005
Springer
16 years 1 days ago
Hybrid Neurocomputing for Breast Cancer Detection
Breast cancer is one of the major tumor related cause of death in women. Various artificial intelligence techniques have been used to improve the diagnoses procedures and to aid t...
Yuehui Chen, Ajith Abraham, Bo Yang