neural networks and fuzzy logic by rajasekaran
Neural Networks (and more!)
Ngày tải lên :
13/09/2012, 09:50
... science
and engineering: mathematical logic and theorizing followed by experimentation. Neural networks
replace these problem solving strategies with trial & error, pragmatic solutions, and a ... improved by a
trial -and- error evaluation of small changes to the algorithm's parameters and
procedures. This is the strategy of the neural network.
Training the Neural Network
Neural network ... artificial neural networks to
distinguish them from the squishy things inside of animals. However, most
scientists and engineers are not this formal and use the term neural network to
include both biological...
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Tài liệu Fuzzy Logic and NeuroFuzzy Applications in Industrial Automation doc
Ngày tải lên :
13/12/2013, 01:15
... representation of fuzzy
logic with the learning power of neural nets, and you get
NeuroFuzzy.
Training Fuzzy Logic Systems with NeuroFuzzy
Many alternative ways of integrating neural nets and fuzzy logic
have ... nets and fuzzy logic have
its strengths and weaknesses
In simple words, both neural nets and fuzzy logic are powerful
design techniques that have its strengths and weaknesses.
Neural nets can ... sets", Fuzzy Sets and Systems, 2, p. 173-186.
Figure 14: NeuroFuzzy technologies map a neural net to a fuzzy
logic system enabling neural net learning algorithms to be used
with fuzzy logic system...
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Tài liệu Kalman Filtering and Neural Networks - Chapter 1: KALMAN FILTERS doc
Ngày tải lên :
13/12/2013, 13:15
... paper by Kalman [1] for the
1
Kalman Filtering and Neural Networks, Edited by Simon Haykin
ISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc.
Kalman Filtering and Neural Networks, Edited by Simon ... also the books by Lewis [2] and Grewal and Andrews [3].
The derivation is not only elegant but also highly insightful.
Consider a linear, discrete-time dynamical system described by the
block diagram ... entries of
the matrices F
kỵ1;k
and H
k
are all known (i.e., computable), by having
^
xx
k
and
^
xx
À
k
available at time k.
Stage 2 Once the matrices F
kỵ1;k
and H
k
are evaluated, they are...
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Tài liệu Kalman Filtering and Neural Networks P2 doc
Ngày tải lên :
14/12/2013, 13:15
... themselves altered by misfire, so that normal
engine firings followed by misfire may be misinterpreted.
We have approached the misfire detection problem with recurrent
neural networks trained by GEKF [12] ... KALMAN FILTER TRAINING
phenomenon, is particularly troublesome for training of recurrent neural
networks and= or neural network controllers, where the temporal order of
presentation of data during ... 133–
140.
[3] G.V. Puskorius and L. A. Feldkamp, ‘‘ Decoupled extended Kalman filter
training of feedforward layered networks, ’’ in Proceedings of International
Joint Conference of Neural Networks, Seattle,...
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Tài liệu Kalman Filtering and Neural Networks P3 doc
Ngày tải lên :
14/12/2013, 13:15
... circle moving right and up;
square moving right and down;
triangle moving right and up;
circle moving right and down;
square moving right and up;
triangle moving right and down.
Training ... 1,1–47 (1991).
[2] J.S. Lund, Q. Wu and J.B. Levitt, ‘‘ Visual cortex cell types and connections’’,
in M.A. Arbib, Ed., Handbook of Brain Theory and Neural Networks,
Cambridge, MA: MIT Press, ... many time steps and anticipate both its shape and
location many time steps into the future.
3.2 NEUROBIOLOGICAL AND PERCEPTUAL FOUNDATIONS
The architecture of our model is motivated by two key anatomical...
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Tài liệu Kalman Filtering and Neural Networks P4 doc
Ngày tải lên :
14/12/2013, 13:15
... by a very small increment, the deviation in
83
Kalman Filtering and Neural Networks, Edited by Simon Haykin
ISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc.
Kalman Filtering and Neural Networks, ... illustrated by Packard et al.
[3], and then given a firm mathematical foundation by Takens [4] and
Man˜e
´
[5]. In essence, the celebrated Takens embedding theorem guaran-
tees that by applying ... D.A. Rand and L.S. Young, Eds. Dynamical Systems and
Turbulence, Warwick 1980, Lecture Notes in Mathematics Vol. 898. 1981,
p. 230. Berlin: Springer-Verlag.
[6] A.M. Fraser, ‘‘ Information and...
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Tài liệu Kalman Filtering and Neural Networks P5 pdf
Ngày tải lên :
14/12/2013, 13:15
... series (a ), the
series generated by a neural network trained on x
k
(b), the series generated
by a neural network trained on y
k
(c ), and the series generated by a neural
network trained on y
k
, ... Atlas, ‘‘Recurrent neural networks and
robust time series prediction,’’ IEEE Transactions on Neural Networks, 5(2),
240–254 (1994).
[15] S.C. Stubberud and M. Owen, ‘‘Artificial neural network feedback ... shown by the thin curve in Figure 5.3a, is generated
by a neural network (10-5-1) with chaotic dynamics, driven by white
Gaussian-process noise (s
2
v
ẳ 0:36). Colored noise generated by a linear
autoregressive...
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Tài liệu Kalman Filtering and Neural Networks P6 pdf
Ngày tải lên :
14/12/2013, 13:15
... A and B multiplying inputs x and u, respectively; and an
output bias vector b, and the noise covariance Q. Each RBF is assumed to
be a Gaussian in x space, with center c
i
and width given by ... sequence of observed data by Y ẳfy
1
; ; y
t
g, observed inputs by
U ẳfu
1
; ; u
T
g, the sequence of hidden variables by X ẳfx
1
; ; x
t
g,
and the parameters of the model by y.) Maximizing the ... estimation for nonlinear dynamical systems
and also as a basis for on-line learning algorithms for feedforward neural
networks [15] and radial basis function networks [16, 17]. For more
details, see...
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Tài liệu Kalman Filtering and Neural Networks P7 pptx
Ngày tải lên :
14/12/2013, 13:15
... learning the parameters. The use of the EKF
for training neural networks has been developed by Singhal and Wu [8]
and Puskorious and Feldkamp [9], and is covered in Chapter 2 of this
book. The use of ... time-series
estimation with neural networks.
Double Inverted Pendulum A double inverted pendulum (see Fig.
7.4) has states corresponding to cart position and velocity, and top and
bottom pendulum angle and angular ... chapter reviews this work,
and presents extensions to a broader class of nonlinear estimation
problems, including nonlinear system identification, training of neural
networks, and dual estimation problems....
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Tài liệu Fuzzy Logic and NeuroFuzzy Applications in Industrial Automation docx
Ngày tải lên :
22/12/2013, 10:15
... representation of fuzzy
logic with the learning power of neural nets, and you get
NeuroFuzzy.
Training Fuzzy Logic Systems with NeuroFuzzy
Many alternative ways of integrating neural nets and fuzzy logic
have ... nets and fuzzy logic have
its strengths and weaknesses
In simple words, both neural nets and fuzzy logic are powerful
design techniques that have its strengths and weaknesses.
Neural nets can ... 0,7
Figure 11: Comparison of fuzzy logic control versus manual
operation. The fuzzy logic controller ensures better capacity
usage by operating the process more stable
The fuzzy logic load balancing...
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