Fifth International Conference on Artificial Neural Networks: 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK
Gespeichert in:
| Körperschaft: | |
|---|---|
| Format: | Tagungsbericht Buch |
| Sprache: | Undetermined |
| Veröffentlicht: |
[London]
IEE
1997
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| Schriftenreihe: | Institution of Electrical Engineers: Conference publication
440 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIII, 238 S. Ill., graph. Darst. |
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| 111 | 2 | |a International Conference on Artificial Neural Networks (Institution of Electrical Engineers) |n 5. |d 1997 |c Cambridge |j Verfasser |0 (DE-588)5254460-6 |4 aut | |
| 245 | 1 | 0 | |a Fifth International Conference on Artificial Neural Networks |b 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK |
| 246 | 1 | 3 | |a Artificial neural networks |
| 264 | 1 | |a [London] |b IEE |c 1997 | |
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Datensatz im Suchindex
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| adam_text |
Contents
The Institution
of Electrical Engineers is not, as a body, responsible
for the opinions expressed by individual authors or speakers
Page No.
ALGORITHMS I
1
'A comparison of fast training algorithms over two real problems'
J M
Hannán
and
J M
Bishop
University of Reading, UK
7
'Shadow Targets: a novel algorithm for topographic projections by
radial basis functions'
M E
Tipping and
D
Lowe
Aston University, UK
13
'Mixtures of principal component analyzers'
M E
Tipping and
C M
Bishop
Aston University, UK
19
'Characterising complexity in a radial basis function network'
D
Lowe
Aston University, UK
24
'Predictive performance for the detection of underfitting in
density estimation'
L
Sardo
and
J
Kittler
University of Surrey, UK
SIGNAL
&
IMAGE PROCESSING
30
'Using visual feature extraction neural network model to improve
performance of quadtree based image coding'
Z
He and
S
Chen
University of Portsmouth, UK
36
'Neural networks and seasonal time-series prediction'
A Procházka
Prague Institute of Chemical Technology, Czech Republic
42
'A neural-network approach for compact multi-level
representation of human faces'
M A Gradin,
P J G
Lisboa
and D M
Harvey
LiverpoolJohn
Moores
University, UK
iv
Contents
Page No.
48
'An improved novelty criterion for resource allocating networks'
A McLachlan
Aston Univeriity, UK
53
'Complexity modelling and stability characterisation for long term
iterated time series prediction'
D
Lowe and
N
Hazarika
Aston University, UK
BAYESIAN NETWORKS
59
'Partitioned mixture distributions: the dynamical case'
S P
Luttrell
Defence Research Agency, UK
64
'Magnification factors for the GTM algorithm'
С
M
Bishop,
M
Svensen and
С К
I Williams
Aston University, UK
70
'Hierarchical models for data visualization'
Μ Ε
Tipping and
C M
Bishop
Aston University, UK
76
'Novel approaches to confidence bound generation for neural
network representations'
R
Shao,
J
Zhang,
E
В
Martin, and A J Morris
University of Newcastle, UK
82
'Bayesian labelling of image corner features using a grey-level
corner model with a bootstrapped modular neural network'
R
Kumar and
P
Rockett
The University of Sheffield, UK
W
-С
Chen
Chung-Cheng Institute of Technology, Taiwan
SELF ORGANISING SYSTEMS
88
'Application of Fuzzy ARTmap for fault monitoring on complex
transmission systems'
Q Y Xuan, R K Aggarwal, Y H Song
and A T Johns
University of Bath, UK
Contents
Page No.
94
'Design of a LVQ neural network for compressed image indexing'
J
Jiang
Loughborough University, UK
100
'System identification using self organising feature maps'
U
Witkowski,
S
Ruping,
U
Ruckert,
F
Schutte,
S
Beineke and
H Grotstollen
University of
Paderborn,
Germany
106
'A self organising neural-network-based fuzzy system'
Y Wang
and
G Rong
Zhejiang University, China
ALGORITHMS II
111 'GTM through time'
C M
Bishop and
I G D Strachan
Aston University, UK
G E
Hinton
University of Toronto, Canada
111 'Choosing an appropriate model for novelty detection'
A Nairac,
T A Corbett-Clark, R
Ripley,
N
W Townsend
and
L Tarassenko
Oxford University, UK
123
'Experimental issues of functional merging on probability density
estimation'
C M
Stow, ACT Kennington,
С
Molina and
W J
Fitzgerald
University of Cambridge, UK
SYSTEM IDENTIFICATION
&
CONTROL
129
'Predictive terrain contour mapping for a legged robot'
S
Galt
and
B L Luk
University of Portsmouth, UK
134
'Towards the autonomous control of mobile robots by
connectionist experts'
R M
Rylatt,
С
A Czarnecki and
T W
Routen
De Montford
University, UK
vi
Contents
Page No.
140
'A neural networks based collision detection engine for multi-arm
robotic systems'
A S
Rana
and
A M S Zalzala
University of Sheffield, UK
146
'Towards a comparative study of neural networks in inverse model
learning and compensation applied to dynamic robot control'
M
W
Chen,
AMS
Zalzala and
N
E Sharkey
University of Sheffield, UK
152
'Using neural networks as part of a system to recognise formations
of aircraft'
P R
Zanelli and
J
Austin
University of York, UK
HARDWARE
158
'The capacity of the boolean associative memory'
A G
D'yachkov and
V V Rykov
Moscow State University, Russia
161
'C-NNAP: A dedicated platform for binary neural networks'
J
V Kennedy,
J
Austin,
R
Pack and
В
Cass
University of York, UK
167
'Application of correlation memory matrices in high frequency
asset allocation'
D Kustrin, J
Austin and A Sanders
University of York, UK
APPLICATIONS
173
'In-situ ellipsometry solutions using a radial basis function
network'
A D Marrs
Defence Research Agency, UK
180
'From
neuronal stochasticity
to intelligent resource management of
packet data networks'
C G Onyiagha
Ericsson (Components) Ltd, UK
T G Clarkson
Kings College
London, UK
vu
Contents
Page No.
187
'A neural relaxation technique for chemical graph matching'
M
Turner and
J
Austin
University of York, UK
193
'Neural networks for active drag reduction in fully turbulent
airflows'
D
Babcock and
R
Goodman4
California Institute of Technology, USA
С
Lee and
J
Kim
University of California, USA
Poster Papers
199
'A localised elastic net technique for lung boundary extraction
from magnetic resonance images'
S J
Gilson,
I Middleton and
R
I Damper
University of Southampton, UK
205
'Competitive learning algorithms in adaptive educational toys'
D K
McNeill and
H C
Card
University of Manitoba, Canada
210
'On a choice of sampling nodes for optimal approximation of
smooth functions by generalised translation networks'
H N
Mhaskar
California State University, USA
J Prestin
Universität Rostock,
Germany
216
'Optimal response functions in a network of discretely firing
neurons'
S P
Luttrell
Defence Research Agency, UK
221
'Validation of neural networks in automotive engine calibration'
D
Lowe and
K Zaparí
Aston University, UK
227
'Estimations of error bounds for RBF networks'
N
W
Townsend and
L Tarassenko
Oxford University, UK
vin
Contents
Page No.
233
'A principled framework and technique for rule extraction from
multi-layer perceptrons'
L
Tarassenko and
T
A Corbett-Clark
Oxford University, UK
239
'A novel multi-type architecture for FANNs'
K C Ho, P V S
Ponnapalli and
M
Thomson
The Manchester Metropolitan University, UK
245
'A two-ANN approach to frequency and harmonic evaluation'
L L
Lai
City University, UK
W
L
Chan
Hong Kong Polytechnic University, Hong Kong
ATP So
City University of Hong Kong, Hong Kong
251
'Pre-processing of acoustic signals by neural networks for fault
detection and diagnosis of rolling mill'
D
Aiordachioaie and
E
Ceanga
Galaţi
University, Romania
R
I Mihalcea and
N
Roman
-
S C
Galfinband
S A,
Romania
257
'Non
linear speech transition visualization'
К
Reinhard
and
M Niranjan
Cambridge University, UK
262
'Practical comparison of neural networks and conventional
identification methodologies'
M
Soufian,
M
Soufian and
M
Thomson
The Manchester Metropolitan University, UK
268
'Using Bayesian neural networks to classify segmented images'
F
Vivarelli and
С К
I Williams
Aston University, UK
274
'Text-independent speaker verification using predictive neural
networks'
R
A Finan
and
A T Sapeluk
University of
Aber
t
ay Dundee, UK
R
I Damper
University of Southampton, UK
ix
Contents
Page No.
280
'Partitioned mixture distributions: a first order perturbation
analysis'
S P
Luttrell
Defence Research Agency, UK
285
'Self-organizing construction of hierarchical structure of multi¬
layer perceptrons'
S
A Dolenko,
Ε Κ
Eremin,
Y V Orlov,
I
G Persiantsev
and J
S Shugai
Moscow
State
University, Russia
291
'Artificial neural networks with nonlinear feedbacks'
E E Dudnikov
International Research Institute for Management Sciences, Russia
M
V Rybashov
Institute of Control Problems, Russia
295
'Aircraft engine condition monitoring: stochastic identification and
neural networks'
V Kadirkamanathan,
V C
Patel
and V
Y Arkov
University of Sheffield, UK
G G
Kulikov and
T
V Breikin
Ufa State Aviation Technical University, Russia
300
'RAM-based sigma-pi nets for high accuracy function mapping'
R S
Neville
University of Hertfordshire, UK
306
'A multi-sensor integration method of signals in a metal cutting
operation via application of multi-layer perceptron neural
networks'
D
E
Dimla jnr,
P M
Lister and
N J
Leighton
University of Wolverhampton, UK
312
'Neural networks for distributed overload control in
telecommunications networks'
S
Wu and
K Y M
Wong
Hong Kong University of
Science
and Technology, Hong Kong
Contents
Page No.
318
'Detection of interictal epileptic events in
EEG
using ANN'
Y
Uzzaman Khan and
L Tarassenko
Oxford University, UK
323
'Application of neural networks to post-operative liver transplant
monitoring'
D G Melvin, M Niranjan, R W
Prager
and G Alexander
Cambridge
University, UK
A K Trall
and
V F
Hughes
Addenbrooke's NHS Trust, Cambridge, UK
xi |
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| spelling | International Conference on Artificial Neural Networks (Institution of Electrical Engineers) 5. 1997 Cambridge Verfasser (DE-588)5254460-6 aut Fifth International Conference on Artificial Neural Networks 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK Artificial neural networks [London] IEE 1997 XIII, 238 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Institution of Electrical Engineers: Conference publication 440 Neuronales Netz (DE-588)4226127-2 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Neuronales Netz (DE-588)4226127-2 s DE-604 Institution of Electrical Engineers: Conference publication 440 (DE-604)BV001889735 440 Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007842748&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Fifth International Conference on Artificial Neural Networks 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK Institution of Electrical Engineers: Conference publication Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)1071861417 |
| title | Fifth International Conference on Artificial Neural Networks 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK |
| title_alt | Artificial neural networks |
| title_auth | Fifth International Conference on Artificial Neural Networks 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK |
| title_exact_search | Fifth International Conference on Artificial Neural Networks 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK |
| title_full | Fifth International Conference on Artificial Neural Networks 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK |
| title_fullStr | Fifth International Conference on Artificial Neural Networks 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK |
| title_full_unstemmed | Fifth International Conference on Artificial Neural Networks 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK |
| title_short | Fifth International Conference on Artificial Neural Networks |
| title_sort | fifth international conference on artificial neural networks 7 9 july 1997 venue churchill college univ of cambridge uk |
| title_sub | 7 - 9 July 1997 ; venue Churchill College, Univ. of Cambridge, UK |
| topic | Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Neuronales Netz Konferenzschrift |
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