Journal ArticleDOI
Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
M.W. Gardner,Stephen Dorling +1 more
TLDR
This paper presents a general introduction and discussion of recent applications of the multilayer perceptron, one type of artificial neural network, in the atmospheric sciences.About:
This article is published in Atmospheric Environment.The article was published on 1998-08-01. It has received 2389 citations till now. The article focuses on the topics: Multilayer perceptron & Artificial neural network.read more
Citations
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Book ChapterDOI
Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology
Marc Aubinet,Achim Grelle,Andreas Ibrom,Üllar Rannik,John Moncrieff,Thomas Foken,Andrew S. Kowalski,Philippe H. Martin,Paul Berbigier,Christian Bernhofer,Robert Clement,Jan Elbers,André Granier,Thomas Grünwald,K. Morgenstern,Kim Pilegaard,Corinna Rebmann,W. Snijders,Riccardo Valentini,Timo Vesala +19 more
TL;DR: In this article, the authors have described the measurement system and the procedure followed for the computation of the fluxes and procedure of flux summation, including data gap filling strategy, night flux corrections and error estimation.
Journal ArticleDOI
Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
Liangpei Zhang,Lefei Zhang,Bo Du +2 more
TL;DR: A general framework of DL for RS data is provided, and the state-of-the-art DL methods in RS are regarded as special cases of input-output data combined with various deep networks and tuning tricks.
Journal ArticleDOI
A survey of the recent architectures of deep convolutional neural networks
TL;DR: Deep Convolutional Neural Networks (CNNs) as mentioned in this paper are a special type of Neural Networks, which has shown exemplary performance on several competitions related to Computer Vision and Image Processing.
Journal ArticleDOI
Steels for bearings
TL;DR: In this paper, the structure and properties of bearing steels prior to the point of service are first assessed and described in the context of steelmaking, manufacturing and engineering requirements, followed by a thorough critique of the damage mechanisms that operate during service and in accelerated tests.
Journal ArticleDOI
The Optoelectronic Nose: Colorimetric and Fluorometric Sensor Arrays.
TL;DR: A comprehensive review on the development and state of the art of colorimetric and fluorometric sensor arrays is presented and the various chemometric and statistical analyses of high-dimensional data are presented and critiqued in reference to their use in chemical sensing.
References
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Journal ArticleDOI
Classification and Regression Trees.
Book
Neural networks for pattern recognition
TL;DR: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition, and is designed as a text, with over 100 exercises, to benefit anyone involved in the fields of neural computation and pattern recognition.
Journal ArticleDOI
Multilayer feedforward networks are universal approximators
TL;DR: It is rigorously established that standard multilayer feedforward networks with as few as one hidden layer using arbitrary squashing functions are capable of approximating any Borel measurable function from one finite dimensional space to another to any desired degree of accuracy, provided sufficiently many hidden units are available.
Book ChapterDOI
Learning internal representations by error propagation
TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.