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HYBRID
1998
Springer
13 years 11 months ago
A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning
Hybridconnectionist symbolic systems have been the subject of muchrecent research in AI. By focusing on the implementation of highlevel human cognitive processes e.g., rule-based i...
Rafal Bogacz, Christophe G. Giraud-Carrier
ENGL
2006
84views more  ENGL 2006»
13 years 7 months ago
A framework for neural network to make business forecasting with hybrid VAR and GA components
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
Sio Iong Ao
ICIC
2007
Springer
14 years 1 months ago
Usage of Hybrid Neural Network Model MLP-ART for Navigation of Mobile Robot
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This appr...
Andrey Gavrilov, Sungyoung Lee
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
IJCNN
2006
IEEE
14 years 1 months ago
Training Reformulated Product Units in Hybrid Neural Networks
— Higher order networks allow modelling of correlates and geometrically invariant properties. Current techniques for their development either require domain knowledge, or are con...
Philip T. Elliott, Diven Topiwala, Will N. Browne