This paper presents the research results of a comparison of three different model based
approaches for wind turbine fault detection in online SCADA data, by applying developed …

Artificial neural systems | Guide books skip to main content ACM Digital Library home ACM
home Google, Inc. (search) Advanced Search Browse About Sign in Register Advanced Search …

We develop a technique to test the hypothesis that multilayered, feed-forward networks with
few units on the first hidden layer generalize better than networks with many units in the first …

We discuss the results of a comparative study of the performance of neural networks and
conventional methods in forecasting time series. Our work was initially inspired by …

The problem of determining the proper size of an artificial neural network is recognized to be
crucial, especially for its practical implications in such important issues as learning and …

Back-propagation can be considered a nonlinear regression technique, allowing a
nonlinear neural network to acquire an input/output (I/O) association using a limited number …

The use of multilayer perceptrons (MLP) in the realization of arbitrary functions which map
from a finite subset of E/sup n/into E/sup m/is investigated. A least upper bound of hidden …

Credit-risk evaluation decisions are important for the financial institutions involved due to the
high level of risk associated with wrong decisions. The process of making credit-risk …

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 …

Vibration monitoring of components in manufacturing plants involves the collection of
vibration data from plant components and detailed analysis to detect features that reflect the …