715 search results - page 13 / 143 » Neural Network with Matrix Inputs |
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
— Neurons are point process systems, in the sense that the inputs and output which are spike trains can be treated as point processes. System identification of a point process s...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
—This paper examines the motivation and concepts of dynamic encoders (for binary neural networks) introduced by Shah in the author’s RASC 2004 and 2006 conference papers [1], [...
ICAPR
2001
Springer
14 years 1 months ago
2001
Springer
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
NN
2008
Springer
13 years 8 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
- This paper presents a variable node-to-node-link neural network (VN2 NN) trained by real-coded genetic algorithm (RCGA). The VN2 NN exhibits a node-to-node relationship in the hi...