498 search results - page 57 / 100 » Training Neural Networks with GA Hybrid Algorithms |
NIPS
2008
13 years 10 months ago
2008
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
NIPS
1993
13 years 9 months ago
1993
Learning to recognize or predict sequences using long-term context has many applications. However, practical and theoretical problems are found in training recurrent neural networ...
CGIM
2003
13 years 10 months ago
2003
In this paper, we introduce a novel method of automatically finding the training set of RBF networks for morphing a prototype face to represent a new face. This is done by automa...
IWANN
2001
Springer
14 years 28 days ago
2001
Springer
: Long-term rainfall prediction is a challenging task especially in the modern world where we are facing the major environmental problem of global warming. In general, climate and ...
ISNN
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Inspired on psycholinguistics and neuroscience, a symbolicconnectionist hybrid system called θ-Pred (Thematic Predictor for natural language) is proposed, designed to re...