33 search results - page 2 / 7 » Artificial Neural Network Type Learning with Single Multipli... |
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
NIPS
2007
13 years 9 months ago
2007
A non–linear dynamic system is called contracting if initial conditions are forgotten exponentially fast, so that all trajectories converge to a single trajectory. We use contra...
IJCNN
2007
IEEE
14 years 2 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...
CSREAESA
2004
13 years 9 months ago
2004
- The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
TNN
1998
13 years 7 months ago
1998
: A novel approach to artificial neural networks is presented. The philosophy of this approach is based on two aspects: the design of task-specific networks, and a new neuron model...