209 search results - page 9 / 42 » A Feedforward Neural Network based on Multi-Valued Neurons |
ISCAS
2007
IEEE
14 years 1 months ago
2007
IEEE
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
TNN
1998
13 years 7 months ago
1998
— In this work, a probabilistic model is established for recurrent networks. The EM (expectation-maximization) algorithm is then applied to derive a new fast training algorithm f...
ISCAS
1999
IEEE
13 years 11 months ago
1999
IEEE
A signal su ers from nonlinear, linear, and additive distortion when transmitted through a channel. Linear equalizers are commonly used in receivers to compensate for linear chann...
SIAMADS
2010
13 years 2 months ago
2010
Precise spatiotemporal sequences of action potentials are observed in many brain areas and are thought to be involved in the neural processing of sensory stimuli. Here, we examine ...
ESANN
2008
13 years 9 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...