Artificial neural nets and genetic algorithms: proceedings of the international conference in Alès, France, 1995
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| Format: | Book |
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| Language: | English |
| Published: |
Wien u.a.
Springer
1995
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XV, 528 S. Ill., zahlr. graph. Darst. |
| ISBN: | 3211826920 0387824596 |
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| 245 | 1 | 0 | |a Artificial neural nets and genetic algorithms |b proceedings of the international conference in Alès, France, 1995 |c D. W. Pearson ... [(eds.)] |
| 264 | 1 | |a Wien u.a. |b Springer |c 1995 | |
| 300 | |a XV, 528 S. |b Ill., zahlr. graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 7 | |a Algorithmes génétiques |2 ram | |
| 650 | 7 | |a Réseaux neuronaux (informatique) - Congrès |2 ram | |
| 650 | 4 | |a Genetic algorithms |v Congresses | |
| 650 | 4 | |a Neural networks (Computer science) |v Congresses | |
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| 655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 1995 |z Alès |2 gnd-content | |
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| 689 | 1 | |5 DE-604 | |
| 700 | 1 | |a Pearson, David W. |e Sonstige |4 oth | |
| 856 | 4 | 2 | |m Digitalisierung TU Muenchen |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006836015&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
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Record in the Search Index
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| adam_text |
Contents
Advisory and Programme Committees XV
Workshop Summary
1
Invited Talk
Kohonen neural networks for machine and process condition monitoring.
3
T. Harris
Plenary Session
Process modelling and control with neural networks: present status and future directions.
5
B.
Schürmann
SESSION A1
:
Classification
A genetic algorithm for multicriteria inventory classification.
6
H.A. Güvenir
Optimizing classifiers for handwritten digits by genetic algorithms.
10
J.
Schäfer
and H.
Braun
DCS: A promising classifier system.
14
P. Collard and
С
Escazut
Application of neural networks for classification of temperature distribution patterns.
18
H.
Saxen,
A. Bulsari,
L
Karilainen and K. Raipala
SESSION B1: Genetic Algorithms and Combinatorial Optimisation
Combination of genetic algorithms and CLP in the vehicle-fleet scheduling problem.
22
E. Stefanitsis,
N.
Christodoulou and J. Psarras
Minimum cost topology optimisation of the COST
239
European optical network.
26
M.C. Sinclair
Timetabling using genetic algorithms.
30
W.
Erben
Resolution of cartographic layout problem by means of improved genetic algorithms.
33
Y. Djouadi
Using genetic algorithms to solve the radio link frequency assignment problem.
37
A.
Kapsalis, V.J.
Rayward-Smith and G.D. Smith
SESSION C1
:
Learning and Training
A transformation for implementing efficient dynamic backpropagation neural networks.
41
G.L. Rudolph and T.R. Martinez
ААГ:
a dynamic incremental network that learns by discrimination.
45
C. Giraud-Carrier and T. Martinez
Non-supervised sensory-motor agents learning.
49
R.S. Wazlawick and
A.C.
da Rocha
Costa
Functional equivalence and genetic learning of RBF networks.
53
R.
Neruda
VIII
Teaching relaxation labeling processes using genetic algorithms.
57
M.
Pelillo,
F.
Abbattista and A. Maffione
VLSI optimal neural network learning algorithm.
61
V. Beiu andJ.G. Taylor
SESSION A2: Applications in
Bioloçy
and Biotechnology
Using of neural-network and expert-system for ¡missions prediction.
65
E. Theocharidou and Z. Burianec
The costing of process vessels using neural networks.
69
M. Leek, P. Bromley, D. Peel and AM
Genard
Neural network modelling of fermentation taking into account culture memory.
72
P. Koprinkova, M.
Petrova
and T. Patarinska
Brain electrographic state detection using combined unsupervised and supervised neural
networks.
76
A.J.F.
Coimbra,
J.
Marino-Neto,
F.M. de
Azevedo, CG. Freitas
and J.M.
Barreto
SESSION
В2:
Genetic and Neural Theory Combined
From the chromosome to the neural network.
80
O. Michel and J.
Biondi
CAM-Brain: the evolutionary engineering of a billion neuron artificial brain by
2001
which
grows/evolves at electronic speeds inside a cellular automata machine (CAM).
84
H.
de Garis
A perfect integration of neural networks and evolutionary algorithms.
88
P.P.C.
Yip and Y.-H.
Pao
G-LVQ, a combination of genetic algorithms and LVQ.
92
J.J. Merelo and
A. Prieto
Evolving neural network structures: an evaluation of encoding techniques.
96
S.G. Roberts and M.
Turega
SESSION C2: Failure Detection and Identification
Application of radial basis function networks to fault diagnosis for a hydraulic system.
100
D. Yu
,
D.N. Shields and S. Daley
Optimally robust fault diagnosis using genetic algorithms.
104
D. Yu and D.N. Shields
Development of a neural-based diagnostic system to control the ropes of mining shifts.
108
F. Ortega, J.B. Ordieres
,
C.
Menéndez
and
С
González Nicieza
Lime kiln fault detection and diagnosis by neural networks.
112
B.
Ribeiro,
E.
Costa and
A. Dourado
Investigations into the use of wavelet transformations as input into neural networks for
condition monitoring.
116
J. Maclntyre and J.C. O'Brien
SESSION
A3:
Image. Motion and Recognition
Genetic algorithm for
neurocomputer
image recognition.
120
EM Kussuland T.N. Baidyk
IX
Feature map
architectures
for pattern recognition: techniques for automatic region selection.
124
B. Martin-del-Brio,
N.
Medrano-Marqués
and J.
Blasco-
Alberto
Adaptive genetic algorithms for multi-point path finding in artificial potential fields.
128
RM.
Rylatt, C.A. Czarneckiand T.W.
Routen
Spatio-temporal mask learning: application to speech recognition.
132
S. Durand
and
F. Alexandre
Artificial neural networks for motion estimation.
136
O. Schnelting, B.
Michaelis
and R. Mecke
Advanced neural networks methods for recognition of handwritten characters.
140
S. Skoneczny and J. Szostakowski
SESSION B3: Genetic Algorithms Theory
The use of a variable length chromosome for permutation manipulation in genetic algorithms.
144
P. Robbins
Theoretical bounds for genetic algorithms.
148
D. Reynolds and J. Gomatam
An argument against the principle of minimum alphabet.
152
G.M. Gibson
Heterogeneous co-evolving parasites.
156
J. Holmes,
T.W. Routen
andC.A. Czarnecki
Typology of boolean functions using Walsh analysis.
160
С
Escazut and P. Collard
SESSION C3: Neural Networks Theory
Artificial neural networks for nonlinear projection and exploratory data analysis.
164
D. Hamad and M. Betrouni
Generic back-propagation in arbitrary feedforward neural networks.
168
С
Gégout,
В.
Girau
and
F.
Rossi
From prime implicants to modular feedforward networks.
172
U.
Hartmann
Hierarchical backward search method: a new classification tree using preprocessing by
multilayer neural network. 1
76
H. Yoshii
Adaptation algorithms for 2-D feedforward neural networks.
180
T. Kaczorek
Selectina the best significant fragment to the incremental heteroassociative neural network
(RHI).
183
J.M. Garcia-Chamizo, R. Satorre-Cuerda, F. Ibarra-Pico and S. Cuenca-Asensi
SESSION
A4:
Image. Motiop
япН
Rerannition
An orthogonal neural network with guaranteed recall by iterative filters and its application to
texture discrimination. 186
F.
Ibarra-Picó
,
J.M.
García-Chamizo
and
R.
Satorre-Cuerda
Automatic radar target identification using neural networks.
190
J-F. Remm,
F. Alexandre
and
L
Savy
Keystroke dynamics based user authentication using neural networks.
194
R. RoïtàrandJ.
Olejár
χ
Application
of learning to learn to real-world pattern recognition.
198
S.G. Romaniuk
Quarry aggregates: a flexible inspection method utilising artificial neural networks.
202
D. W. Calkin and R.M. Parkin
SESSION B4: Genetic Algorithms Theory
An evolution model for integration problems.
206
B.
Lange
Convergence of algorithm and the schema theorem in genetic algorithms.
210
Y. Uesaka
Incorporating neighbourhood search operators into genetic algorithms.
214
С
Höhn
and
С
Reeves
Automatic change of representation in genetic algorithms.
218
F. Oppacher and D. Deugo
Dominant takeover regimes for genetic algorithms.
223
D. Noever and S. Baskaran
Interactive evolutionary algorithms in design.
227
J.Graf
SESSION C4: Neural Networks Theory
Decrypting neural network data:
a GIS
case study.
231
R.A.
Bustos
and T.D.
Gedeon
A framework for creating societies of agents.
235
J.F. Arcand and S.J.
Pelletier
Adaptive scaling of
codebook
vectors.
239
S.
Haring
and
J.N. Kok
Bias estimation for neural network predictions.
242
C.R. Reeves
ANN realizations of local approximation schemes.
245
A.A.
Pervozvanskii
Changing network weights by Lie groups.
249
D.W.
Pearson
SESSION A5: Time Series. Sequences and Filters
Unsupervised learning of temporal sequences by neural networks.
253
B. Gas and R. Natowicz
Multivariate time series modeling of financial markets with artificial neural networks.
257
T.
Ankenbrand
and M.
Tomassini
Neural network approach to Pisarenko's frequency estimation.
261
F.-L. Luo and R.
Unbehauen
Rounding FIR filter coefficients using genetic algorithms.
265
D.H.
Horrocks,
N.
Karaboga
and
M.
Alci
Evolutionary adaptive filtering.
269
D. Ait-Boudaoud, R. Cemes and S. Holloway
XI
SESSION
В5:
Genetic
Algorithms
япгі
Combinatorial Optimisation
A genetic
algorithm for some discrete-continuous scheduling problems.
273
J.
Józefowska,
R.
RóżyckiandJ. Węglarz
Hybridizing genetic algorithms with branch and bound techniques for the resolution of the
TSP.
277
С
Cotta,
J.F.
Áldana, AJ.
Nebro
and J.M.
Troya
Performance
of genetic algorithm used for analysis of call and service processing in
telecommunications.
281
V. Sinkovic and I. Lovrek
Evolutionary heuristics for the bin packing problem.
285
S. Khuri, M.
Schütz
and J.
Heitkötter
A clausal genetic representation and its evolutionary procedures for satisfiability problems.
289
J.K. Hao
SESSION C5: Parallelism and Neural Networks
Massively parallel training of
multi
layer perceptrons with irregular topologies.
293
D.
Koll,
M.
Riedmiller
and
H.
Braun
Parallel Boltzmann machine
topologies for simulated annealing realisation of combinatorial
problems.
297
/.
Ashman, T.
Vladimírova,
С.
Jesshope and R. Peel
Radial Basis Function Networks
Radial basis function neural networks in credit application vetting systems.
301
A.G. Williamson and P. Munson
A dynamical architecture for a radial basis function network.
305
B.
Lemane
andAG. Debroise
Centre selection for radial basis function networks.
309
K. Warwick, J.D. Mason and E.L
Sutano
SESSION A6: Multimedia ^AD and Software Tools
Flexible user-guidance in multimedia CBT-applications using artificial neural networks.
313
K.
Langer
and
F. Bodendorf
Use of genetic and neural technologies in oil equipment computer-aided design.
317
R.M. Vahidov, M.A. Vahidov and Z.E. Eyvazova
GENESIS: an object-oriented framework for simulation of neural network models.
321
L
Fuentes,
J.F.
Áldana
and
J.M.
Troya
NNDT
-
a neural network development tool.
325
B. Saxen
and H.
Saxen
SESSION B6: fienfltin and Nf*liral ThftnrV Combined
Genetic synthesis of task-oriented neural networks.
329
A. Dobnikar
Evolving neural networks using the "Baldwin effect".
333
E.J W. Boers, M.V.
Borst
and I.G. Sprinkhuizen-Kuyper
XII
Genetic
Algorithms Theory
Modification of Holland's reproductive plan for diploid populations.
337
V.B. Klepikov, K.V. Mahotilo and
S.A.
Sergeev
SESSION C6: Optimisation
Simulated annealing artificial neural networks for the satisfiability (SAT) problem.
340
T. Tambouratzis
Policy optimization by neural network and its application to queueing allocation problem.
344
H. Sato, Y. Matsumoto and
N.
Okino
Comparison of genetic and other unconstrained optimization methods.
348
A. Autere
Neural networks for dynamical crop growth model reduction and optimization.
352
I. loslovich and I. Seginer
SESSION A7: Self-Organizing Maps and Auto-Associative Memory
Modified Kohonen's learning laws for RBF network.
356
T.
Ojala
and P. Vuorimaa
Kohonen's maps for contour and "region-like" segmentation of gray level and color images.
360
R. Natowicz,
L
Bergen and B. Gas
Using genetic algorithm in self-organizing map design.
364
A Hämäläinen
Modular labeling
RAAM.
368
A Sperduti
and
A. Stanta
Self-organizing maps for supervision in robot pick-and-place operations.
372
E. Cervera and A. P. del
Pobil
SESSION B7: Parallelism and Genetic Algorithms
Q-Learning and parallelism in evolutionary rule based systems.
376
A. Giani,
F.
BaiardiandA.
Stanţa
Comparing parallel tabu search and parallel genetic algorithms on the task allocation
problem.
380
/.
De Falco,
R.
Del
Balio
and
E. Tarantino
Distributed genetic algorithms with an application to portfolio selection problems.
384
A Loraschi, A. Tettamanzi, M.
Tomassini
and P. Verda
Optimisation
Interval arithmetic and genetic algorithms in global optimization.
388
J.T. Alander
A genetic algorithm for minimization of fixed polarity Reed-Muller expressions.
392
Я
Drechsler,
В.
Becker and
N.
Gõckel
SESSION C7: Control Theory Applications
Identification and adaptive control of nonlinear processes using combined neural networks
and genetic algorithms.
396
A.H. Abu-Abla and N.E. Gough
XIII
Elevator
group
control
using distributed
genetic
algorithms.
400
J.
Alander,
J. Ylinen and T.
Тупі
Neural control of nonlinear non-minimum phase dynamical systems.
404
A. Toudeft
Industrial kiln
multivariable
control: MNN and RBFNN approaches.
408
ft
Ribeiro, A. Dourado
and E. Costa
Genetic tuning of neural non-linear
PID
controllers.
412
A.H. Jones
SESSION A8: Applications in Biology and Biotechnology
Connectionist algorithm for a
3D
dense image building from stereoscopy.
416
M.-N. Fauvel andP. Aubry
A unified neural network model for the self-organization of topographic receptive fields and
lateral interaction.
420
J. Sirosh and R. Miikkulainen
A neural network implementation for an electronic nose.
424
P.B. James-Roxby
Genetic algorithms (GAs) in the role of intelligent regional adaptation agents for agricultural
decision support systems.
428
G. Jacucci, M. Foy and
C. Uhrik
Genetic algorithm applied to radiotherapy treatment planning.
432
O.C.L. Haas,
K.J.
Bumham, M.H. Fisher and J.A. Mills
SESSION B8: Learning and Training
An experience based competitive learning neural model for data compression.
436
J. Jiang
Using neural networks for generic strategic planning.
440
R. Wyatt
Neural network training compared for backprop, quickprop and cascor in energy control
problems.
444
A.N.
Skurikhin and A.J. Surkan
SESSION C8: Mixed Applications
Application of neural network for home security system.
448
T. Ibrikd and V. Krishnamurthi
Application of genetic algorithms in sliding mode control design.
452
N.H.
Moin,
AS./. Zinoberand P.J. Harley
Application of temporal neural networks to source localisation.
456
B. Colnet and
S. Durand
Using genetic algorithms for optimal design of axially loaded non-prismatic columns.
460
C.A. Coello and
A.D.
Christiansen
Behaviour learning by a reward-penalty algorithm: from gait learning to obstacle avoidance
by neural networks.
464
/.
Sanda
and A. Johannet
XIV
SESSION A9: Training Data
Selection
Using evolutionary computation to generate training set data for neural networks.
468
D. Ventura, T. Andersen and T.R. Martinez
Optimal training pattern selection using a cluster-generating artificial neural network.
472
T. Tambouratzis and D.G. Tambouratzis
Training set selection in neural network applications.
476
C.R. Reeves
SESSION B9: Parallelism and Genetic Algorithms
A genetic algorithm for load balancing in parallel query evaluation for deductive relational
databases.
479
E. Alba, J.F.
Áldana
and
J.M.
Troya
Combining distributed populations and periodic centralized selections in coarse-grain
parallel genetic algorithms.
483
R. Bianchini, CM. Brown, M. Ciemiak and W. Meira
Modified genetic algorithms by efficient unification with simulated annealing.
487
S. Ghoshray, K.K. Yen and J. Andrian
VLSI standard-cell placement by parallel hybrid simulated-annealing and genetic algorithm.
491
K.
Kurbel,
В.
Schneider and K. Singh
Genetic Algorithms and Combinatorial Optimisation
Performance of genetic algorithms in the solution of permutation flowshop problems.
495
N.
Sangalli, Q. Semeraro and T. Tolio
A genetic algorithm for the maximal clique problem.
499
C. Bazgan and H. Luchian
SESSION C9: Fuzzy Logic and Uncertainty
Minimal error rate classification in a non-stationary environment via a modified fuzzy
ARTMAP
network.
503
С
P. Urn and
R. F
.
Harrison
Decision making in uncertain environment with genetic algorithms.
507
C.
Pernee!
and M. Acheroy
The use of fuzzy
ARTMAP
to identify low risk coronary care patients.
511
J. Downs, R.F. Harrison, R.L. Kennedy and K. Woods
NeuroGraph
-
a simulation environment for neural networks, genetic algorithms and fuzzy
logic.
515
P. Wilke, J. Rehder, G. Billing,
С
Mansfeld and J.
Nilson
Time Series. Sequences and Filters
Comparison of identification techniques for nonlinear systems.
519
I.G. French, S. Ho and A. Adgar |
| any_adam_object | 1 |
| building | Verbundindex |
| bvnumber | BV010275042 |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.87 |
| callnumber-search | QA76.87 |
| callnumber-sort | QA 276.87 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | ST 130 ST 285 ST 300 ST 301 |
| classification_tum | DAT 717f |
| ctrlnum | (OCoLC)32241732 (DE-599)BVBBV010275042 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)1071861417 Konferenzschrift 1995 Alès gnd-content |
| genre_facet | Aufsatzsammlung Konferenzschrift 1995 Alès |
| id | DE-604.BV010275042 |
| illustrated | Illustrated |
| indexdate | 2025-01-10T13:21:35Z |
| institution | BVB |
| isbn | 3211826920 0387824596 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006836015 |
| oclc_num | 32241732 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-91G DE-BY-TUM DE-945 DE-739 DE-19 DE-BY-UBM DE-29T DE-634 DE-83 DE-188 DE-706 |
| owner_facet | DE-355 DE-BY-UBR DE-91G DE-BY-TUM DE-945 DE-739 DE-19 DE-BY-UBM DE-29T DE-634 DE-83 DE-188 DE-706 |
| physical | XV, 528 S. Ill., zahlr. graph. Darst. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | Springer |
| record_format | marc |
| spelling | Artificial neural nets and genetic algorithms proceedings of the international conference in Alès, France, 1995 D. W. Pearson ... [(eds.)] Wien u.a. Springer 1995 XV, 528 S. Ill., zahlr. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Algorithmes génétiques ram Réseaux neuronaux (informatique) - Congrès ram Genetic algorithms Congresses Neural networks (Computer science) Congresses Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Genetischer Algorithmus (DE-588)4265092-6 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)1071861417 Konferenzschrift 1995 Alès gnd-content Neuronales Netz (DE-588)4226127-2 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Genetischer Algorithmus (DE-588)4265092-6 s Pearson, David W. Sonstige oth Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006836015&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Artificial neural nets and genetic algorithms proceedings of the international conference in Alès, France, 1995 Algorithmes génétiques ram Réseaux neuronaux (informatique) - Congrès ram Genetic algorithms Congresses Neural networks (Computer science) Congresses Künstliche Intelligenz (DE-588)4033447-8 gnd Genetischer Algorithmus (DE-588)4265092-6 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4265092-6 (DE-588)4226127-2 (DE-588)4143413-4 (DE-588)1071861417 |
| title | Artificial neural nets and genetic algorithms proceedings of the international conference in Alès, France, 1995 |
| title_auth | Artificial neural nets and genetic algorithms proceedings of the international conference in Alès, France, 1995 |
| title_exact_search | Artificial neural nets and genetic algorithms proceedings of the international conference in Alès, France, 1995 |
| title_full | Artificial neural nets and genetic algorithms proceedings of the international conference in Alès, France, 1995 D. W. Pearson ... [(eds.)] |
| title_fullStr | Artificial neural nets and genetic algorithms proceedings of the international conference in Alès, France, 1995 D. W. Pearson ... [(eds.)] |
| title_full_unstemmed | Artificial neural nets and genetic algorithms proceedings of the international conference in Alès, France, 1995 D. W. Pearson ... [(eds.)] |
| title_short | Artificial neural nets and genetic algorithms |
| title_sort | artificial neural nets and genetic algorithms proceedings of the international conference in ales france 1995 |
| title_sub | proceedings of the international conference in Alès, France, 1995 |
| topic | Algorithmes génétiques ram Réseaux neuronaux (informatique) - Congrès ram Genetic algorithms Congresses Neural networks (Computer science) Congresses Künstliche Intelligenz (DE-588)4033447-8 gnd Genetischer Algorithmus (DE-588)4265092-6 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Algorithmes génétiques Réseaux neuronaux (informatique) - Congrès Genetic algorithms Congresses Neural networks (Computer science) Congresses Künstliche Intelligenz Genetischer Algorithmus Neuronales Netz Aufsatzsammlung Konferenzschrift 1995 Alès |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006836015&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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