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ESANN
2008
13 years 11 months ago
Neural network hardware architecture for pattern recognition in the HESS2 project
In this paper, we consider the problem of implementation of neural network in the context of the level 2 trigger of HESS2 project. We propose a hardware architecture which which ta...
Narayanan Ramanan, Sonia Khatchadourian, Jean-Chri...
IJCNN
2006
IEEE
14 years 3 months ago
Spatiotemporal Pattern Recognition via Liquid State Machines
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
Eric Goodman, Dan Ventura
ICANN
2003
Springer
14 years 2 months ago
Confidence Estimation Using the Incremental Learning Algorithm, Learn++
Pattern recognition problems span a broad range of applications, where each application has its own tolerance on classification error. The varying levels of risk associated with ma...
Jeffrey Byorick, Robi Polikar
ISCAS
2005
IEEE
154views Hardware» more  ISCAS 2005»
14 years 3 months ago
Back propagation learning of neural networks with chaotically-selected affordable neurons
— Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
Yoko Uwate, Yoshifumi Nishio
ISNN
2005
Springer
14 years 3 months ago
A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories
Built on the theories of biological neural network, artificial neural network methods have shown many significant advantages. However, the memory space in an artificial neural chip...
Zihong Liu, Zhihua Wang, Guolin Li, Zhiping Yu