An efficient and robust neural network-based scheme is introduced in this paper to perform
automatic cloud detection and classification. An unsupervised Kohonen neutral network was …

The Cascade Correlation algorithm introduced a sound basis for self-scaling learning of
monolithic neural networks, but it suffers from a number of drawbacks. These include …

Nowadays, manufacturing companies are making every effort to reduce costs and improve
quality in order to maintain their competitiveness in the global markets. It is well recognized …

This chapter reviews related research work on machine monitoring and diagnostics.
Specifically, the following four categories of work are reviewed: signal processing …

A Neurosymbolic Approach to the Classification of Scarce and Complex Data Page 1 A
Neurosymbolic Approach to the Classification of Scarce and Complex Data Marıa Margarita …

This research examines the signal processing performed by the simple cells of the
mammalian primary visual cortex with the objective of developing useful techniques for …

A methodology was developed to evaluate the feasibility of neural network identity fusion
techniques for classifying vehicles from multisensor data collected from unattended ground …

A simple neural network-based approach is introduced, which allows the computation of the
coefficients of the generalized non-orthogonal 2D Gabor transform representation. The …

This thesis presents the theoretical studies of several models for evidential reasoning and
learning of evidential reasoning using neural networks. A unified framework for evidential …