Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …

Health monitoring is an essential part of condition-based maintenance and prognostics and
health management for gas turbines. Various health monitoring systems have been …

This book describes a new mathematical concept called modeling field theory; demonstrates
applications of neural networks based on this theory to a variety of problems; and analyzes …

Using a number of measures for characterising the complexity of classification problems, we
studied the comparative advantages of two methods for constructing decision forests …

We survey research of recent years on the supervised training of feedforward neural
networks. The goal is to expose how the networks work, how to engineer them so they can …

The Handbook of Neural Computation is a practical, hands-on guide to the design and
implementation of neural networks used by scientists and engineers to tackle difficult and/or …

This paper describes a fault direction discriminator that uses an artificial neural network
(ANN) for protecting transmission lines. The discriminator uses various attributes to reach a …

Pattern selection methods have been traditionally developed with a dependency on a
specific classifier. In contrast, this paper presents a method that selects critical patterns …

In this paper, recent neural network applications, epecially to the fields related with the
computational mechanics, were surveyed. The most outstanding characteristics of the neural …

The inversion of geoelectrical resistivity data is a difficult task due to its non‐linear nature. In
this work, the neural network (NN) approach is studied to solve both 1D and 2D resistivity …