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ICANN
2005
Springer
15 years 9 months ago
Short Term Memories and Forcing the Re-use of Knowledge for Generalization
Despite the well-known performances and the theoretical power of neural networks, learning and generalizing are sometimes very difficult. In this article, we investigate how short ...
Laurent Orseau
CORR
2008
Springer
103views Education» more  CORR 2008»
15 years 4 months ago
Flatness of the Energy Landscape for Horn Clauses
Abstract The Little-Hopfield neural network programmed with Horn clauses is studied. We argue that the energy landscape of the system, corresponding to the inconsistency function f...
Saratha Sathasivam, Wan Ahmad Tajuddin Wan Abdulla...
ESANN
2007
15 years 5 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...
DMIN
2006
105views Data Mining» more  DMIN 2006»
15 years 5 months ago
Development of an Optimal Neural Network for Avalanche Forecast in Himalayan Region
- This paper deals with the application of a well-known data mining technique, multi-layer back-propagation neural network, for forecasting of an avalanche in Himalayan region. Met...
Rashpal Kaur, Mahesh Bansal, Atul Parti, V. Rihani
TSMC
2008
162views more  TSMC 2008»
15 years 3 months ago
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...