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» Neural networks: Algorithms and applications
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IJCNN
2007
IEEE
14 years 3 months ago
Theta Neuron Networks: Robustness to Noise in Embedded Applications
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...
Sam McKennoch, Preethi Sundaradevan, Linda G. Bush...
IPPS
1998
IEEE
14 years 1 months ago
Artificial Neural Networks on Reconfigurable Meshes
:Artificial neural networks(ANN) have been used successfully in applications such as pattern recognition, image processing, automation and control. Majority of today's applica...
Jing-Fu Fu Jenq, Wing Ning Li
IFIP12
2004
13 years 10 months ago
Ensembles of Multi-Instance Neural Networks
: Recently, multi-instance classification algorithm BP-MIP and multi-instance regression algorithm BP-MIR both based on neural networks have been proposed. In this paper, neural ne...
Min-Ling Zhang, Zhi-Hua Zhou
AINA
2010
IEEE
13 years 5 months ago
Neural Network Trainer through Computer Networks
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...
Nam Pham, Hao Yu, Bogdan M. Wilamowski
CORR
2010
Springer
150views Education» more  CORR 2010»
13 years 9 months ago
Extraction of Symbolic Rules from Artificial Neural Networks
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
S. M. Kamruzzaman, Md. Monirul Islam