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Business process network
Known as:
BPN
Business process networks (BPN), also referred to as business service networks or business process hubs, enable the efficient execution of multi…
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8 relations
B2B Gateway
Logistics
Many-to-many
Point-to-multipoint communication
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Gray-scale image watermarking using GA-BPN hybrid network
C. Agarwal
,
A. Mishra
,
Arpita Sharma
Journal of Visual Communication and Image…
2013
Corpus ID: 17118744
Highly Cited
2011
Highly Cited
2011
The Basic Psychological Needs in Physical Education Scale
S. Vlachopoulos
,
Ermioni Katartzi
,
M. Kontou
2011
Corpus ID: 146133679
The present study reported on the modification of the Basic Psychological Needs in Exercise Scale (Vlachopoulos & Michailidou…
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Highly Cited
2010
Highly Cited
2010
Data hiding methods based upon DNA sequences
Hung-Jr Shiu
,
K. Ng
,
Jywe-Fei Fang
,
Richard C. T. Lee
,
Chien-Hung Huang
Information Sciences
2010
Corpus ID: 18194062
Highly Cited
2010
Highly Cited
2010
Radial-Basis-Function-Based Neural Network for Harmonic Detection
G. W. Chang
,
Cheng-I Chen
,
Y. Teng
IEEE transactions on industrial electronics…
2010
Corpus ID: 7617947
The widespread application of power-electronic loads has led to increasing harmonic pollution in the supply system. In order to…
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Highly Cited
2009
Highly Cited
2009
Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction
P. Chang
,
C. Fan
,
Chen-Hao Liu
IEEE Transactions on Systems Man and Cybernetics…
2009
Corpus ID: 10271552
Recently, the piecewise linear representation (PLR) method has been applied to the stock market for pattern matching. As such…
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Highly Cited
2009
Highly Cited
2009
A neural network with a case based dynamic window for stock trading prediction
P. Chang
,
Chen-Hao Liu
,
Jun-Lin Lin
,
C. Fan
,
Celeste See Pui Ng
Expert systems with applications
2009
Corpus ID: 17115577
Highly Cited
2005
Highly Cited
2005
An MRAS-based sensorless high-performance induction motor drive with a predictive adaptive model
M. Cirrincione
,
M. Pucci
IEEE transactions on industrial electronics…
2005
Corpus ID: 12812041
This paper presents a new model reference adaptive system (MRAS) speed observer for high-performance field-oriented control…
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Highly Cited
2005
Highly Cited
2005
On the Application of Bayesian Probabilistic Networks for Earthquake Risk Management
Yahya Y. Bayraktarli
,
J. Ulfkjaer
,
U. Yazgan
,
M. Faber
2005
Corpus ID: 28933529
The present paper considers the application of Bayesian Probabilistic Networks (BPN’s) in risk management for portfolios of…
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Highly Cited
1998
Highly Cited
1998
Static, Dynamic, and Hybrid Neural Networks in Forecasting Inflation
S. Moshiri
,
N. Cameron
,
D. Scuse
1998
Corpus ID: 56511088
The back-propagation neural network (BPN) model has been the most popular form of artificial neural network model used for…
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Highly Cited
1991
Highly Cited
1991
Generalization accuracy of probabilistic neural networks compared with backpropagation networks
D. Specht
,
P.D. Shapiro
IJCNN-91-Seattle International Joint Conference…
1991
Corpus ID: 56657327
The authors demonstrate that probabilistic neural networks (PNN) and backpropagation networks (BPN) generalize comparably for a…
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