neural network based trajectory planning
neural network based trajectory planning
...
neural network. Simulations are performed to evaluate the
performance of the trajectory planning method and the
control procedure.
Index terms-flexible manipulator, neural network, trajectory ... desired position because of link deflections and
vibrations. In this study, a neural network based trajectory
planning method is applied to calculate modifications in th...
Tài liệu A neural-network-based space-vector PWM controller for a three-level voltage-fed inverter induction motor drive doc
... FOR
N
EURAL
N
ETWORK
Neural- network- based SVM for a two-level inverter has been
described in the literature [2], [3]. It will now be extended to a
0093-9994/02$17.00 © 2002 IEEE
MONDAL et al.: A NEURAL- NETWORK- BASED ... Neural- network- based SVM. (b) Equivalent DSP -based SVM.
Fig. 11. Machine line voltage and phase current waves in mode 2 (40 Hz). (a) Neural- network- ba...
neural network-based face detection
... tested this hy-
pothesis by using a separate neural network to ar-
bitrate among multiple detection networks. It was
found that the neural network- based arbitrationpro-
duces results comparable ... Kanade
tk@cs.cmu.edu
http://www.cs.cmu.edu/˜tk
Abstract
We present a neural network- based face detection
system. A retinally connected neural network ex-
amines small windows of...
rotation invariant neural network-based
... recognition using artificial neural
network group -based adaptive tolerance (GAT) trees. IEEE Transactions on Neural Networks,
7(3):555–567, 1996.
13
Rotation Invariant Neural Network- Based
Face Detection
Henry ... recognition/detection by probabilis-
tic decision -based neural network. IEEE Transactions on Neural Networks, Special Issue on
Artificial Neural Networks and Pa...
experimental analysis of neural network based feature extractors for
... output units.
Each neural network had only 2 units in the output layer,
in other words, each neural network was dedicated to
recognize one letter. The hidden units of these networks
were all set ... algorithm
was employed as a common training algorithm. The
networks used were feed-forward neural networks. There
was only one hidden layer for all kinds of networks in
this research. Th...
neural network-based handwritten signature
... OER: overall error rate (FAR + FRR).
A. Linear Network Development
Linear networks are NNs with no hidden layers or
nodes. Despite limitations, these networks provide a use-
ful benchmark against ... signatures much better than linear
networks. The result is a lower OER and a more pro-
nounced convergence than was achieved with the linear
network (in terms of training the network, see Fi...
neural network-based offline handwritten
...
on neural network based classification. Then we summarize
the classification problems, occurring when dealing with
signatures, and propose solutions for them. In this paper a
complete neural ... Neural Networks (NN), offline, Signature
Recognition, etc.
I. INTRODUCTION :
The aim of off-line signature verification is to decide,
whether a signature originates from a given sig...
facial expression classification based on multi artificial neural network
... into
responsive class using a Neural Network called Sub Neural Network (SNN) of
MANN. Lastly, we use MANN’s global frame (GF) consisting some Component
Neural Network (CNN) to compose the classified ... reliability coefficients. Our model links many Neural
Networks together, so we call it Multi Artificial Neural Network (MANN).
3 Multi Artificial Neural Network apply...
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