Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 237,253,455 papers from all fields of science
Search
Sign In
Create Free Account
Rprop
Known as:
Resilient backpropagation
, Resilient propagation
Rprop, short for resilient backpropagation, is a learning heuristic for supervised learning in feedforward artificial neural networks. This is a…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
11 relations
Algorithm
Artificial neural network
Backpropagation
Deep learning
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Enhanced Image Steganography System based on Discrete Wavelet Transformation and Resilient Back-Propagation
R. Naoum
,
A. Shihab
,
S. AlHamouz
2015
Corpus ID: 212580654
Summary Image hiding is a form of steganography that works by embedding data into a digital media for the purpose of…
Expand
2008
2008
Estimating landmark locations from geo-referenced photographs
Henrik Kretzschmar
,
C. Stachniss
,
Christian Plagemann
,
Wolfram Burgard
IEEE/RSJ International Conference on Intelligent…
2008
Corpus ID: 2725916
The problem of estimating the positions of landmarks using a mobile robot equipped with a camera has intensively been studied in…
Expand
2004
2004
Fast Rigid 2D-2D Multimodal Registration
Ulrich Müller
,
J. Hesser
,
R. Männer
International Conference on Medical Image…
2004
Corpus ID: 62449
This paper solves the problem to assign optimal sample sizes to Viola’s stochastic matching [1] and determines the best…
Expand
2002
2002
Application of neural network techniques for location predication in mobile networking
Pradeep Bilurkar
,
N. Rao
,
G. Krishna
,
Ravi Jain
Proceedings of the 9th International Conference…
2002
Corpus ID: 61041728
Over the last few years, the worldwide cellular communication market has undergone exponential growth. This can be attributed to…
Expand
2002
2002
An integrated algorithm of magnified gradient function and weight evolution for solving local minima problem
S. Ng
,
S. Leung
,
A. Luk
Proceedings of the International Joint…
2002
Corpus ID: 124740920
This paper presents the integration of magnified gradient function and weight evolution algorithms in order to solve the local…
Expand
1997
1997
Urban land use mapping with multi-spectral and SAR satellite data using neural networks
Jukka Heikkonen
,
I. Kanellopoulos
,
Aristide Varfis3
,
A. Steel
,
Karen Fullerton2
IGARSS'97. IEEE International Geoscience and…
1997
Corpus ID: 61287734
Statistical, textural and Gabor features were extracted from integrated multitemporal multispectral TM data and ERS-1 SAR imagery…
Expand
1997
1997
A Cascade Network Algorithm Employing Progressive RPROP
N. Treadgold
,
Tom Gedeon
International Work-Conference on Artificial and…
1997
Corpus ID: 11722095
Cascade Correlation (Cascor) has proved to be a powerful method for training neural networks. Cascor, however, has been shown not…
Expand
1997
1997
Computational neural networks for mapping calorimetric data: Application of feed-forward neural networks to kinetic parameters determination and signals filtering
N. Sbirrazzuoli
,
D. Brunnel
Neural computing & applications (Print)
1997
Corpus ID: 24157712
Feedforward neural networks have been used for kinetic parameters determination and signal filtering in differential scanning…
Expand
1997
1997
Adaptation of Learning Rule Parameters Using a Meta Neural Network
Colin McCormack
Connection science
1997
Corpus ID: 9798679
This paper proposes an application-independent method of automating learning rule parameter selection using a form of supervisor…
Expand
1993
1993
Pattern completion with the random neural network using the RPROP learning algorithm
C. Hubert
IEEE International Conference on Systems, Man and…
1993
Corpus ID: 61919324
A new model of neural networks called the random neural network (RNN) has been introduced by Gelenbe (1989). It provides many…
Expand