The Community for Technology Leaders
1993 First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems (1993)
Dunedin, New Zealand
Nov. 24, 1993 to Nov. 26, 1993
ISBN: 0-8186-4260-2
TABLE OF CONTENTS

Expert system for flood management in Lake Manapouri (PDF)

S. Samarasinghe , Lincoln Univ., Canterbury, New Zealand
A. McKinnon , Lincoln Univ., Canterbury, New Zealand
J. Bright , Lincoln Univ., Canterbury, New Zealand
pp. 266-269

Genetic modification of a neural networks training data (PDF)

J. McCullagh , Dept. of Comput. Sci., La Trobe Univ., Bundoora, Vic., Australia
pp. 58-59

Acquiring design knowledge from design cases (PDF)

W. Wang , Sydney Univ., NSW, Australia
J.S. Gero , Sydney Univ., NSW, Australia
pp. 338-340

An application of neural networks to emulation of aesthetic judgements (PDF)

R. Jagielski , Dept. of Comput. Sci., Swinburne Univ. of Technol., Hawthorn, Vic., Australia
pp. 334-337

Solving four-colouring map problem using genetic algorithm (PDF)

B.H. Gwee , Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
M.H. Lim , Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
J.S. Ho , Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
pp. 332-333

Dynamic modeling and control of nonlinear systems using neural network (PDF)

Q. Song , Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
pp. 327-330

The identification of pitting and crevice corrosion using a neural network (PDF)

T.F. Barton , Ind. Res. Ltd., Auckland, New Zealand
D.I. Tuck , Ind. Res. Ltd., Auckland, New Zealand
D.B. Wells , Ind. Res. Ltd., Auckland, New Zealand
pp. 325-326

Data engineering for neural net analysis of glass furnace characteristics (PDF)

B.J. Garner , Dept. of Comput. & Math., Deakin Univ., Geelong, Vic., Australia
G.J. Ridley , Dept. of Comput. & Math., Deakin Univ., Geelong, Vic., Australia
pp. 317-320

An expert design assistant for hydraulic systems (PDF)

G.R. Dunlop , Dept. of Mech. Eng., Canterbury Univ., Christchurch, New Zealand
R.K. Rayudu , Dept. of Mech. Eng., Canterbury Univ., Christchurch, New Zealand
pp. 314-316

A low cost distributed expert system delivery environment for monitoring and control applications (PDF)

T. Hendtlass , Swinburne Univ. of Technol., Hawthorn, Vic., Australia
S. Goss , Swinburne Univ. of Technol., Hawthorn, Vic., Australia
pp. 312-313

Diagnostic knowledge in manufacturing systems-a case of integrated circuits leads forming system (PDF)

M.M. Narasipuram , Dept. of Inf. Syst., City Polytech. of Hong Kong, Kowloon, Hong Kong
pp. 310-311

Neural network based power system stabilizers (PDF)

A.M. Sharaf , Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada
pp. 306-309

Learning sequential and continuous control (PDF)

S.W. Ryan , Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
J.H. Andreae , Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
pp. 302-305

Sensor-aided intelligent robot control (PDF)

W.E. Friedrich , Ind. Res. Ltd., Auckland, New Zealand
pp. 300-301

Industrial application of fuzzy-neuro process monitoring system (PDF)

M.H. Lim , Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
pp. 298-299

Trading a NYSE-stock with a simple artificial neural network-based financial trading system (PDF)

C.N.W. Tan , School of Inf. Technol., Bond Univ., Gold Coast, Qld., Australia
pp. 294-295

A study of the parameters of a backpropagation stock price prediction model (PDF)

C.N.W. Tan , Bond Univ., Gold Coast, Qld., Australia
G.E. Wittig , Bond Univ., Gold Coast, Qld., Australia
pp. 288-291

A neural network model for sales forecasting (PDF)

I. Jagielska , Dpet. of Inf. Syst., Monash Univ., Clayton, Vic., Australia
pp. 284-287

A connectionist expert system for international currency option trading (PDF)

T.S. Quah , Nat. Univ. of Singapore, Singapore
C.L. Tan , Nat. Univ. of Singapore, Singapore
B. Srinivasan , Nat. Univ. of Singapore, Singapore
H.H. Teh , Nat. Univ. of Singapore, Singapore
pp. 280-283

Incorporating risk curves into a reservoir management model for irrigation supply (PDF)

F.J.-C. Bouchart , Univ. of Central Queensland, Rockhampton, Qld., Australia
I.C. Goulter , Univ. of Central Queensland, Rockhampton, Qld., Australia
pp. 274-278

A mineral deposit modelling and assessment expert system (PDF)

I. Moore , Queensland Dept. of Miner. & Energy, Brisbane, Qld., Australia
pp. 270-273

Using the KADS methodology: expert systems in farm management (PDF)

E.G. Todd , Massey Univ., Palmerston North, New Zealand
D.I. Gray , Massey Univ., Palmerston North, New Zealand
E.A. Kemp , Massey Univ., Palmerston North, New Zealand
J.C. Lockhart , Massey Univ., Palmerston North, New Zealand
W.J. Parker , Massey Univ., Palmerston North, New Zealand
pp. 262-265

An adaptable health screening questionnaire (PDF)

C. Carey-Smith , Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
pp. 259-260

TRICOACH: a knowledge-based system for triathlons (PDF)

M. Michelsson , Dept. of Comput. & Math., Deakin Univ., Clayton, Vic., Australia
M.S. Kurzyn , Dept. of Comput. & Math., Deakin Univ., Clayton, Vic., Australia
pp. 255-258

Review of applications of artificial neural networks in biotechnology (PDF)

M.J. Kennedy , Ind. Res. Ltd., Lower Hutt, New Zealand
pp. 252-254

Using a biomimetric neural net to model dolphin echolocation (PDF)

D.A. Helweg , Dept. of Psychol., Auckland Univ., New Zealand
pp. 247-251

An expert system to aid diagnosis of epilepsy (PDF)

A.A. Dingle , Christchurch Hospital, New Zealand
R.D. Jones , Christchurch Hospital, New Zealand
G.J. Carroll , Christchurch Hospital, New Zealand
pp. 237-239

Design problems encountered in the development of a medical expert system (PDF)

A. Parr , Deakin Univ., Burwood, Vic., Australia
pp. 232-236

A model of fuzzy coding in the vestibular system (PDF)

M.G. Paulin , Dept. of Zoology, Otago Univ., Dunedin, New Zealand
pp. 228-231

Main problems and issues in neural networks application (PDF)

V.R. Vemuri , Dept. of Appl. Sci., California Univ., Livermore, CA, USA
pp. 226

Expert systems and neural networks: a comparison (PDF)

M.S. Kurzyn , Deakin Univ., Clayton, Vic., Australia
pp. 222-223

Connectionist expert systems (PDF)

N.K. Kasabov , Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
L.C. Jain , Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
pp. 220-221

Towards a general distributed platform for learning and generalization (PDF)

T.R. Martinez , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
B.W. Hughes , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
pp. 216-219

A hybrid approach for knowledge representation and reasoning (PDF)

J. Schwinn , IMAT-MMS, Kassel Univ., Germany
pp. 214-215

An object-oriented hybrid environment for integrating neural networks and experts systems (PDF)

S. Khebbal , Dept. of Comput. Sci., London Univ., UK
P. Treleaven , Dept. of Comput. Sci., London Univ., UK
pp. 210-213

A framework for hybrid intelligent systems (PDF)

P.V. Rocha , Dept. of Comput. Sci., London Univ., UK
S.K. Khebbal , Dept. of Comput. Sci., London Univ., UK
P.C. Treleaven , Dept. of Comput. Sci., London Univ., UK
pp. 206-209

NCLIPS-a platform for implementing hybrid expert systems (PDF)

C.J. Wang , Dept. of Comput. Sci., Essex Univ., Colchester, UK
E.W. Khor , Dept. of Comput. Sci., Essex Univ., Colchester, UK
S.K. Tang , Dept. of Comput. Sci., Essex Univ., Colchester, UK
pp. 202-205

A task oriented intelligent tutoring system (PDF)

L. Alem , Div. of Inf. Technol., CSIRO, North Ryde, NSW, Australia
M. Lee , Div. of Inf. Technol., CSIRO, North Ryde, NSW, Australia
pp. 196-200

Knowledge-based simulation for teaching (PDF)

R.H. Kemp , Dept. of Comput. Sci., Massey Univ., Palmerston North, New Zealand
pp. 192-195

FOCUS: a user-centred approach to expert systems development (PDF)

E.A. Kemp , Massey Univ., Palmerston North, New Zealand
pp. 188-191

An intelligent programming environment for multiprocessor systems (PDF)

E. Trichina , Dept. of Comput. Sci., Joensuu Univ., Finland
pp. 183-186

Maintenance anomalies in rule-based expert systems (PDF)

R.C. Hicks , Nevada Univ., Las Vegas, NV, USA
pp. 181-182

A two-tier approach to rule-based systems verification (PDF)

R.C. Hicks , Nevada Univ., Las Vegas, NV, USA
pp. 177-180

Expert object management for object-oriented systems and database (PDF)

N. Craske , Monash Univ., Clayton, Vic., Australia
pp. 173-176

Object-oriented development of expert systems (PDF)

D.S. Mehandjiska , Dept. of Comput. Sci., Massey Univ., Palmerston North, New Zealand
D. Page , Dept. of Comput. Sci., Massey Univ., Palmerston North, New Zealand
pp. 168-172

Problems in expert systems development (PDF)

E.A. Kemp , Massey Univ., Palmerston North, New Zealand
pp. 166-167

Knowledge capture model for expert systems development (PDF)

K.A. Lichti , Ind. Res. Ltd., Lower Hutt,, New Zealand
pp. 163-164

Nonmonotonic inheritance reasoning in classifiers (PDF)

A. Young , Sch. of Comput. & Inf. Technol., Griffith Univ., Brisbane, Qld., Australia
A. Sattar , Sch. of Comput. & Inf. Technol., Griffith Univ., Brisbane, Qld., Australia
pp. 160-162

Using data mining to support the construction and maintenance of expert systems (PDF)

G. Holmes , Dept. of Comput. Sci., Waikato Univ., Hamilton, New Zealand
S.J. Cunningham , Dept. of Comput. Sci., Waikato Univ., Hamilton, New Zealand
pp. 156-159

GTKAT: a grounded theory based knowledge acquisition tool for expert systems (PDF)

Hoi-Kau Yuen , Dept. of Comput. Sci., La Trobe Univ., Bundoora, Vic., Australia
T.J. Richards , Dept. of Comput. Sci., La Trobe Univ., Bundoora, Vic., Australia
pp. 152-155

Integrating machine learning with knowledge-based systems (PDF)

D.W. Aha , Dept. of Comput. Sci., Ottawa Univ., Ont., Canada
pp. 150-151

Implementation of fuzzy clustering using FUZZY ENVIRON (PDF)

G.A.V. Pai , PSG Coll. of Technol., Coimbatore, India
pp. 146-147

A formal description technique for the verification of fuzzy knowledge base redundancy and subsumption (PDF)

N.K. Liu , Dept. of Comput. Sci., La Trobe Univ., Bundoora, Vic., Australia
pp. 142-145

Simplified architecture of a fuzzy inference processor (PDF)

J.S. Ho , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
M.H. Lim , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
K.T. Lau , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
pp. 140-141

Learning fuzzy rules through neural networks (PDF)

N.K. Kasabov , Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
pp. 137-139

Fuzzy sets, fuzzy logic and the goals of artificial intelligence (PDF)

A. Ralescu , Lab. for Int. Fuzzy Eng., Yokohama, Japan
pp. 136

Connectionist computations based on an optical thin-film model (PDF)

M. Purvis , Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
Li Xiaodong , Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
pp. 130-133

GSN neural network in hardware (PDF)

L.F. Uebel , Ciencia da Comput., Univ. Federal do Rio Grande do Sul, Porto Alegre, Brazil
D. Barone , Ciencia da Comput., Univ. Federal do Rio Grande do Sul, Porto Alegre, Brazil
pp. 126-129

An analogue neural network using MCM technology (PDF)

M. Jabri , SEDAL, Sydney Univ., NSW, Australia
P. Leong , SEDAL, Sydney Univ., NSW, Australia
pp. 122-125

The discrimination of short acoustic events by artificial neural networks (PDF)

T. Hendtlass , Swinburne Univ. of Technol., Hawthorn, Vic., Australia
pp. 109-112

A mapping neural network and its application to voiced-unvoiced-silence classification (PDF)

S.J. Kia , Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
G.G. Coghill , Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
pp. 104-108

Neural networks and ambiguity in natural language (PDF)

P.J. Sallis , Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
pp. 102-103

Improving the image recognition capability of Hopfield neural networks (PDF)

M.C. Humphrey , Dept. of Comput. Sci., Waikato Univ., Hamilton, New Zealand
G. Holmes , Dept. of Comput. Sci., Waikato Univ., Hamilton, New Zealand
S.J. Cunningham , Dept. of Comput. Sci., Waikato Univ., Hamilton, New Zealand
pp. 96-99

A neurocomputing model based on radial basis functions for stereo matching (PDF)

J.S. Jin , Dept. of Comput. Sci., Otago Univ., Dunedin, New Zealand
W.K. Yeap , Dept. of Comput. Sci., Otago Univ., Dunedin, New Zealand
B.G. Cox , Dept. of Comput. Sci., Otago Univ., Dunedin, New Zealand
pp. 92-95

Educating a neural network for image processing (PDF)

R.H. Pugmire , Dept. of Production Technol., Massey Univ., Palmerston North, New Zealand
R.M. Hodgson , Dept. of Production Technol., Massey Univ., Palmerston North, New Zealand
R.I. Chaplin , Dept. of Production Technol., Massey Univ., Palmerston North, New Zealand
pp. 86-91

The mind's eye: reconstructing noise corrupted objects, extracting secondary structure and figure ground separation (PDF)

T.J. Stucke , Auckland Univ., New Zealand
G.A. Creak , Auckland Univ., New Zealand
G.G. Coghill , Auckland Univ., New Zealand
pp. 80-85

Design and implementation of video-rate real-time systems incorporating neural networks: experiments and experience (PDF)

S. Jones , Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
pp. 79

Neural network for connected character recognition (PDF)

K. Fukushima , Fac. of Eng. Sci., Osaka Univ., Toyonaka, Japan
pp. 76-78

Integration of knowledge acquired by different neural networks (PDF)

M. Bahrami , Sch. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia
pp. 73-74

Extraction of high level sequential structure using recurrent neural networks and radial basis functions (PDF)

L.R. Leerink , Dept. of Electr. Eng., Sydney Univ., NSW, Australia
M.A. Jabri , Dept. of Electr. Eng., Sydney Univ., NSW, Australia
pp. 69-72

Catastrophic forgetting in neural networks: the role of rehearsal mechanisms (PDF)

A. Robins , Dept. of Comput. Sci., Otago Univ., Dunedin, New Zealand
pp. 65-68

Neural networks and models of cognition: a review (PDF)

A. Robins , Dept. of Comput. Sci., Otago Univ., Dunedin, New Zealand
pp. 63-64

The importance of using multiple styles of generalization (PDF)

D.R. Wilson , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
T.R. Martinez , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
pp. 54-57

Restrictions on goal-driven searches using rigorously inverted artificial neural network models (PDF)

M.M. Thomas , Dept. of Chem. Eng., Washington Univ., St. Louis, MO, USA
pp. 52-53

Using precepts to augment training set learning (PDF)

C. Giraud-Carrier , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
T. Martinez , Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
pp. 46-51

Neural network encoding approach comparison: an empirical study (PDF)

Jiancheng Jia , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Hock-Chuan Chua , Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
pp. 38-41

A learning scheme for bipartite recurrent networks and its performance (PDF)

I. Kumazawa , Dept. of Comput. Sci., Tokyo Inst. of Technol., Japan
pp. 34-37

Well-balanced learning for reducing the variance of summed squared errors (PDF)

K. Kohara , NTT Network Inf. Syst. Lab., Tokyo, Japan
T. Kawaoka , NTT Network Inf. Syst. Lab., Tokyo, Japan
pp. 29-33

Relational connectionist networks (PDF)

H.W. Guesgen , Dept. of Comput. Sci., Auckland Univ., New Zealand
pp. 23-28

SOTA-a visualisation tool for ART neural networks (PDF)

G. Bartfai , Dept. of Comput. Sci., Victoria Univ., Wellington, New Zealand
M. Elliffe , Dept. of Comput. Sci., Victoria Univ., Wellington, New Zealand
P. Wood , Dept. of Comput. Sci., Victoria Univ., Wellington, New Zealand
pp. 19-22

The chaotic self-organizing map (PDF)

A.A. Dingle , Christchurch Hospital, New Zealand
pp. 15-18

Bistability, noise, and information processing in sensory neurons (PDF)

A.R. Bulsara , Div. of Res. & Dev., Test & Evaluation, NCCOSC, San Diego, CA, USA
pp. 11-14

On neural networks for symbolic processing (PDF)

R. Sun , Dept. of Comput. Sci., Alabama Univ., Tuscaloosa, AL, USA
pp. 5-6

Brains, neural networks and expert systems (PDF)

J.H. Andreae , Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
pp. 3-4

Is the fusion of fuzzy logic, neuroscience and chaos possible? (PDF)

T. Yamakawa , Kyushu Inst. of Technol., Iizuka, Japan
pp. 2
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