950 search results - page 37 / 190 » Training a Quantum Neural Network |
ICONIP
1998
13 years 9 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...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
ICANN
2001
Springer
14 years 5 days ago
2001
Springer
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
IJCNN
2000
IEEE
14 years 3 days ago
2000
IEEE
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
This paper investigates how behavioral cloning can be used to decrease training time for students learning to y on simulators. The challenges presented to each student must be tai...