NN
2000
Springer
13 years 5 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 5 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 5 months ago
2000
Springer
NN
2000
Springer
13 years 5 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, ) ...
NN
2000
Springer
13 years 5 months ago
2000
Springer
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
NN
2000
Springer
13 years 5 months ago
2000
Springer
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
NN
2000
Springer
13 years 5 months ago
2000
Springer
While sophisticated neural networks and graphical models have been developed for predicting conditional probabilities in a non-stationary environment, major improvements in the tr...
NN
2000
Springer
13 years 5 months ago
2000
Springer
A neural network model that can simulate the learning of some simple proportional analogies is presented. These analogies include, for example, (a) red-square:red-circle yellow-sq...
NN
2000
Springer
13 years 5 months ago
2000
Springer
This article gives an overview of the different functional brain imaging methods, the kinds of questions these methods try to address and some of the questions associated with fun...
NN
2000
Springer
13 years 5 months ago
2000
Springer