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» Modeling Neural Processes in Lindenmayer Systems
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VISUALIZATION
2005
IEEE
14 years 3 months ago
Opening the Black Box - Data Driven Visualization of Neural Network
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
Fan-Yin Tzeng, Kwan-Liu Ma
NIPS
2003
13 years 11 months ago
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Marc Toussaint
APPINF
2003
13 years 11 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
IJCSA
2007
100views more  IJCSA 2007»
13 years 9 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
ICASSP
2011
IEEE
13 years 1 months ago
The IBM 2009 GALE Arabic speech transcription system
We describe the Arabic broadcast transcription system elded by IBM in the GALE Phase 4 machine translation evaluation. Key advances over our Phase 3.5 system include improvements ...
Brian Kingsbury, Hagen Soltau, George Saon, Stephe...