NN

2000

Springer

13 years 10 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 10 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 10 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 10 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 10 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...

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2000

Springer

13 years 10 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 10 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 10 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...

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2000

Springer

13 years 10 months ago
2000

Springer

NN

2000

Springer

13 years 10 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, ) ...