234 search results - page 29 / 47 » Self-Organizing Incremental Neural Network and Its Applicati... |
NN
2006
Springer
13 years 7 months ago
2006
Springer
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
NCA
2006
IEEE
13 years 7 months ago
2006
IEEE
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
APIN
2002
13 years 7 months ago
2002
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
NN
2008
Springer
13 years 7 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
NN
2002
Springer
13 years 7 months ago
2002
Springer
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...