401 search results - page 49 / 81 » Evolving a neural network using dyadic connections |
ECAL
2001
Springer
14 years 8 days ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
JCNS
1998
13 years 7 months ago
1998
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
SBACPAD
2008
IEEE
14 years 2 months ago
2008
IEEE
This work presents an implementation of Neocognitron Neural Network, using a high performance computing architecture based on GPU (Graphics Processing Unit). Neocognitron is an ar...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— This paper presents the use of a newly created network structure known as a Self-Delaying Dynamic Network (SDN). The SDNs were created to process data which varies with...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
Recently the notion of power law networks in the context of neural networks has gathered considerable attention. Some empirical results show that functional correlation networks in...