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157
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NPL
1998
133views more  NPL 1998»
15 years 3 months ago
Parallel Coarse Grain Computing of Boltzmann Machines
Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
Julio Ortega, Ignacio Rojas, Antonio F. Día...
105
Voted
IWANN
2007
Springer
15 years 10 months ago
Integration of Wind Sensors and Analogue VLSI for an Insect-Inspired Robot
We have designed an adaptive analogue VLSI neuromorphic chip that will be used to interface MEM wind sensors to an insectinspired robot. The main chip components are a sensory inte...
Y. Zhang, A. Hamilton, R. Cheung, B. Webb, P. Argy...
129
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IJCNN
2000
IEEE
15 years 8 months ago
A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention
Selectiveattentionis a mechanismsused to sequentiallyselectthe spatiallocationsof salientregionsin the sensor’sfieldof view. This mechanism overcomesthe problem of flooding limi...
Giacomo Indiveri
130
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IJCSA
2007
100views more  IJCSA 2007»
15 years 3 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
112
Voted
NN
2004
Springer
102views Neural Networks» more  NN 2004»
15 years 9 months ago
A Quantitative Evaluation of a Bio-inspired Sound Segregation Technique for Two- and Three-Source Mixtures
A sound source separation technique based on a bio-inspired neural network, capable of functioning in more than two-source mixtures, is proposed. Separation results are compared wi...
Ramin Pichevar, Jean Rouat