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APIN
2010
107views more  APIN 2010»
14 years 10 months ago
Extracting reduced logic programs from artificial neural networks
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
Jens Lehmann, Sebastian Bader, Pascal Hitzler
IJPRAI
2000
101views more  IJPRAI 2000»
14 years 9 months ago
An Integer Recurrent Artificial Neural Network for Classifying Feature Vectors
: The main contribution of this report is the development of an integer recurrent artificial neural network (IRANN) for classification of feature vectors. The network consists both...
Roelof K. Brouwer
IJCSS
2007
122views more  IJCSS 2007»
14 years 9 months ago
Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K...
ARTMED
2002
119views more  ARTMED 2002»
14 years 9 months ago
Lung cancer cell identification based on artificial neural network ensembles
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
BIOSYSTEMS
2008
65views more  BIOSYSTEMS 2008»
14 years 10 months ago
The origin of autonomous agents by natural selection
We propose conditions in which an autonomous agent could arise, and increase in complexity. It is assumed that on the primitive Earth there arose a recycling flow-reactor containi...
Chrisantha Fernando, Jon Rowe