Artificial neural network reduction through oracle learning

Artificial neural network reduction through oracle learning

Often the best model to solve a real-world problem is relatively complex. This paper presents oracle learning, a method using a larger model as an oracle to train a smaller model on unlabeled data in order to obtain (1) a smaller acceptable model and (2) improved results over standard training methods on a similarly sized smaller model. In particular, this paper looks at oracle learning as appl...

Artificial Neural Network Simplification through Oracle Learning

ARTIFICIAL NEURAL NETWORK SIMPLIFICATION THROUGH ORACLE LEARNING

scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

Artificial Neural Network for Sequence Learning

This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows an autonomous robot to learn how to imitate a sequence of movements wi th the correct t iming.

Learning limits of an artificial neural network