715 search results - page 42 / 143 » Neural Network with Matrix Inputs |
ICONIP
1998
13 years 10 months ago
1998
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
INTERSPEECH
2010
13 years 3 months ago
2010
This paper investigates the combination of different neural network topologies for probabilistic feature extraction. On one hand, a five-layer neural network used in bottle neck f...
WSC
2000
13 years 10 months ago
2000
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
CEC
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— A combination of backpropagation and neuroevolution is used to train a neural network visual controller for agents in the Quake II environment. The agents must learn to...