NN
2000
Springer
13 years 4 months ago
2000
Springer
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
NN
2000
Springer
13 years 4 months ago
2000
Springer
This work describes a neural network model of the rat exploratory behavior in the elevated plus-maze, a test used to study anxiety. It involves three parameters: drive to explore;...
NN
2000
Springer
13 years 4 months ago
2000
Springer
The visual cortex has a laminar organization whose circuits form functional columns in cortical maps. How this laminar architecture supports visual percepts is not well understood...
NN
2000
Springer
13 years 4 months ago
2000
Springer
The proper functioning of the nervous system depends critically on the intricate network of synaptic connections that are generated during the system development. During the netwo...
NN
2000
Springer
13 years 4 months ago
2000
Springer
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
NN
2000
Springer
13 years 4 months ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
NN
2000
Springer
13 years 4 months ago
2000
Springer
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
NN
2000
Springer
13 years 4 months ago
2000
Springer
Pattern completion in a neural network model of the thalamus and a biologically plausible model of synaptic plasticity are the key concepts used in this paper for analyzing some c...
NN
2000
Springer
13 years 4 months ago
2000
Springer
NN
2000
Springer
13 years 4 months ago
2000
Springer
In Lp-spaces with p [1, ) there exists a best approximation mapping to the set of functions computable by Heaviside perceptron networks with n hidden units; however for p (1, ) ...