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AI
2002
Springer
13 years 6 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
13 years 12 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
IJCNN
2007
IEEE
14 years 1 months ago
Daily Load Forecasting Using Quick Propagation Neural Network with a Special Holiday Encoding
— In the last decade, neural networks have been applied in Daily Load Forecasting. Nevertheless, two main problems are still present for using neural networks in this domain: fi...
Ivan Aquino, Cesar Oswaldo Perez Pinche, Jacquelin...
IPPS
2006
IEEE
14 years 22 days ago
A combined genetic-neural algorithm for mobility management
This work presents a new approach to solve the location management problem by using the location areas approach. A combination of a genetic algorithm and the Hopfield neural netwo...
Javid Taheri, Albert Y. Zomaya
ICONIP
2010
13 years 4 months ago
Practical Surface EMG Pattern Classification by Using a Selective Desensitization Neural Network
Real-time pattern classification of electromyogram (EMG) signals is significant and useful for developing prosthetic limbs. However, the existing approaches are not practical enoug...
Hiroshi Kawata, Fumihide Tanaka, Atsuo Suemitsu, M...