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Here is an updated version of the program for The Fifth Conference on Neural
Networks and Parallel Distributed Processing at Indiana University-Purdue
University. Please notice Phil Best's lecture on Friday. It did not appear
on the previous announcement.
Fifth NN & PDP CONFERENCE PROGRAM - April 9, 10 and 11,1992
-----------------------------------------------------------
The Fifth Conference on Neural Networks and Parallel Distributed Processing
at Indiana University-Purdue University at Fort Wayne will be held April 9,
10, and 11, 1992. Conference registration is $20 (on site). Students and
members or employees of supporting organizations attend free.
Inquiries should be addressed to:
US mail:
-------
Pr. Samir Sayegh
Physics Department
Indiana University-Purdue University
Fort Wayne, IN 46805-1499
email: sayegh@ipfwcvax.bitnet
-----
FAX: (219)481-6880
---
Voice: (219) 481-6306 OR 481-6157
-----
All talks will be held in Kettler Hall, Room G46:
Thursday, April 9, 6pm-9pm; Friday Morning & Afternoon (Tutorial Sessions),
8:30am-12pm & 1pm-4:30pm and Friday Evening 6pm-9pm; Saturday, 9am-12noon.
Parking will be available near the Athletic Building or at any Blue A-B
parking lots. Do not park in an Orange A lot or you may get a parking
violation ticket.
Special hotel rates (IPFW corporate rates) are available at Canterbury Green,
which is a 5 minute drive from the campus. The number is (219) 485-9619.
The Marriott Hotel also has corporate rates for IPFW and is about a 10 minute
drive. Their number is (219) 484-0411.
Another hotel with corporate rates for IPFW is Don Hall's Guesthouse (about 10
minutes away). Their number is (219) 489-2524.
The following talks will be presented:
Applications I - Thursday 6pm-7:30pm
--------------------------------------
Nasser Ansari & Janusz A. Starzyk, Ohio University. DISTANCE FIELD APPROACH
TO HANDWRITTEN CHARACTER RECOGNITION
Thomas L. Hemminger & Yoh-Han Pao, Case Western Reserve University. A REAL-
TIME NEURAL-NET COMPUTING APPROACH TO THE DETECTION AND
CLASSIFICATION OF UNDERWATER ACOUSTIC TRANSIENTS
Seibert L. Murphy & Samir I. Sayegh, Indiana-Purdue University. ANALYSIS OF
THE CLASSIFICATION PERFORMANCE OF A BACK PROPAGATION NEURAL NETWORK
DESIGNED FOR ACOUSTIC SCREENING
S. Keyvan, L. C. Rabelo, & A. Malkani, Ohio University. NUCLEAR DIAGNOSTIC
MONITORING SYSTEM USING ADAPTIVE RESONANCE THEORY
J.L. Fleming & D.G. Hill, Armstrong Lab, Brooks AFB. STUDENT MODELING USING
ARTIFICIAL NEURAL NETWORKS
Biological and Cooperative Phenomena Optimization I - Thursday 7:50pm-9pm
---------------------------------------------------------------------------
Ljubomir T. Citkusev & Ljubomir J., Buturovic, Boston University. NON-
DERIVATIVE NETWORK FOR EARLY VISION
Yalin Hu & Robert J. Jannarone, University of South Carolina. A
NEUROCOMPUTING KERNEL ALGORITHM FOR REAL-TIME, CONTINUOUS COGNITIVE
PROCESSING
M.B. Khatri & P.G. Madhavan, Indiana-Purdue University, Indianapolis. ANN
SIMULATION OF THE PLACE CELL PHENOMENON USING CUE SIZE RATIO
Mark M. Millonas, University of Texas at Austin. CONNECTIONISM AND SWARM
INTELLIGENCE
---------------------------------------------------------------------------
---------------------------------------------------------------------------
Tutorials I - Friday 8:30am-11:45am
-------------------------------------
Phil Best, Miami University. PROCESSING OF SPATIAL INFORMATION IN THE BRAIN"
Bill Frederick, Indiana-Purdue University. INTRODUCTION TO FUZZY LOGIC
Helmut Heller, University of Illinois. INTRODUCTION TO TRANSPUTER SYSTEMS
Arun Jagota, SUNY-Buffalo. THE HOPFIELD NETWORK, ASSOCIATIVE MEMORIES, AND
OPTIMIZATION
Tutorials II - Friday 1:15pm-4:30pm
-------------------------------------
Krzysztof J. Cios, University Of Toledo. SELF-GENERATING NEURAL NETWORK
ALGORITHM : CID3 APPLICATION TO CARDIOLOGY
Robert J. Jannarone, University of South Carolina. REAL-TIME NEUROCOMPUTING,
AN INTRODUCTION
Network Analysis I - Friday 6pm-7:30pm
----------------------------------------
M.R. Banan & K.D. Hjelmstad, University of Illinois at Urbana-Champaign. A
SUPERVISED TRAINING ENVIRONMENT BASED ON LOCAL ADAPTATION, FUZZI-
NESS, AND SIMULATION
Pranab K. Das II, University of Texas at Austin. CHAOS IN A SYSTEM OF FEW
NEURONS
Arun Maskara & Andrew Noetzel, New Jersey Institute of Technology. FORCED
LEARNING IN SIMPLE RECURRENT NEURAL NETWORKS
Samir I. Sayegh, Indiana-Purdue University. SEQUENTIAL VS CUMULATIVE UPDATE:
AN ยน EXPANSION
D.A. Brown, P.L.N. Murthy, & L. Berke, The College of Wooster. SELF-
ADAPTATION IN BACKPROPAGATION NETWORKS THROUGH VARIABLE
DECOMPOSITION AND OUTPUT SET DECOMPOSITION
Applications II - Friday 7:50pm-9pm
-------------------------------------
Susith Fernando & Karan Watson, Texas A & M University. ANNs TO INCORPORATE
ENVIRONMENTAL FACTORS IN HI FAULTS DETECTION
D.K. Singh, G.V. Kudav, & T.T. Maxwell, Youngstown State University.
FUNCTIONAL MAPPING OF SURFACE PRESSURES ON 2-D AUTOMOTIVE SHAPES
BY NEURAL NETWORKS
K. Hooks, A. Malkani, & L. C. Rabelo, Ohio University. APPLICATION OF
ARTIFICIAL NEURAL NETWORKS IN QUALITY CONTROL CHARTS
B.E. Stephens & P.G. Madhavan, Purdue University at Indianapolis. SIMPLE
NONLINEAR CURVE FITTING USING THE ARTIFICIAL NEURAL NETWORK
-------------------------------------------------------------------------------
-------------------------------------------------------------------------------
Network Analysis II - Saturday 9am-10:30am
-------------------------------------------
Sandip Sen, University of Michigan. NOISE SENSITIVITY IN A SIMPLE CLASSIFIER
SYSTEM
Xin Wang, University of Southern California. DYNAMICS OF DISCRETE-TIME
RECURRENT NEURAL NETWORKS: PATTERN FORMATION AND EVOLUTION
Zhenni Wang and Christine Di Massimo, University of Newcastle. A PROCEDURE
FOR DETERMINING THE CANONICAL STRUCTURE OF MULTILAYER NEURAL
NETWORKS
Srikanth Radhakrishnan, Tulane University. PATTERN CLASSIFICATION USING THE
HYBRID COULOMB ENERGY NETWORK
Biological and Cooperative Phenomena Optimization II - Saturday 10:50am-12noon
-------------------------------------------------------------------------------
J. Wu, M. Penna, P.G. Madhavan, & L. Zheng, Purdue University at
Indianapolis. COGNITIVE MAP BUILDING AND NAVIGATION
C. Zhu, J. Wu, & Michael A. Penna, Purdue University at Indianapolis. USING
THE NADEL TO SOLVE THE CORRESPONDENCE PROBLEM
Arun Jagota, SUNY-Buffalo. COMPUTATIONAL COMPLEXITY OF ANALYZING A
HOPFIELD-CLIQUE NETWORK
Assaad Makki, & Pepe Siy, Wayne State University. OPTIMAL SOLUTIONS BY
MODIFIED HOPFIELD NEURAL NETWORKS
Networks and Parallel Distributed Processing at Indiana University-Purdue
University. Please notice Phil Best's lecture on Friday. It did not appear
on the previous announcement.
Fifth NN & PDP CONFERENCE PROGRAM - April 9, 10 and 11,1992
-----------------------------------------------------------
The Fifth Conference on Neural Networks and Parallel Distributed Processing
at Indiana University-Purdue University at Fort Wayne will be held April 9,
10, and 11, 1992. Conference registration is $20 (on site). Students and
members or employees of supporting organizations attend free.
Inquiries should be addressed to:
US mail:
-------
Pr. Samir Sayegh
Physics Department
Indiana University-Purdue University
Fort Wayne, IN 46805-1499
email: sayegh@ipfwcvax.bitnet
-----
FAX: (219)481-6880
---
Voice: (219) 481-6306 OR 481-6157
-----
All talks will be held in Kettler Hall, Room G46:
Thursday, April 9, 6pm-9pm; Friday Morning & Afternoon (Tutorial Sessions),
8:30am-12pm & 1pm-4:30pm and Friday Evening 6pm-9pm; Saturday, 9am-12noon.
Parking will be available near the Athletic Building or at any Blue A-B
parking lots. Do not park in an Orange A lot or you may get a parking
violation ticket.
Special hotel rates (IPFW corporate rates) are available at Canterbury Green,
which is a 5 minute drive from the campus. The number is (219) 485-9619.
The Marriott Hotel also has corporate rates for IPFW and is about a 10 minute
drive. Their number is (219) 484-0411.
Another hotel with corporate rates for IPFW is Don Hall's Guesthouse (about 10
minutes away). Their number is (219) 489-2524.
The following talks will be presented:
Applications I - Thursday 6pm-7:30pm
--------------------------------------
Nasser Ansari & Janusz A. Starzyk, Ohio University. DISTANCE FIELD APPROACH
TO HANDWRITTEN CHARACTER RECOGNITION
Thomas L. Hemminger & Yoh-Han Pao, Case Western Reserve University. A REAL-
TIME NEURAL-NET COMPUTING APPROACH TO THE DETECTION AND
CLASSIFICATION OF UNDERWATER ACOUSTIC TRANSIENTS
Seibert L. Murphy & Samir I. Sayegh, Indiana-Purdue University. ANALYSIS OF
THE CLASSIFICATION PERFORMANCE OF A BACK PROPAGATION NEURAL NETWORK
DESIGNED FOR ACOUSTIC SCREENING
S. Keyvan, L. C. Rabelo, & A. Malkani, Ohio University. NUCLEAR DIAGNOSTIC
MONITORING SYSTEM USING ADAPTIVE RESONANCE THEORY
J.L. Fleming & D.G. Hill, Armstrong Lab, Brooks AFB. STUDENT MODELING USING
ARTIFICIAL NEURAL NETWORKS
Biological and Cooperative Phenomena Optimization I - Thursday 7:50pm-9pm
---------------------------------------------------------------------------
Ljubomir T. Citkusev & Ljubomir J., Buturovic, Boston University. NON-
DERIVATIVE NETWORK FOR EARLY VISION
Yalin Hu & Robert J. Jannarone, University of South Carolina. A
NEUROCOMPUTING KERNEL ALGORITHM FOR REAL-TIME, CONTINUOUS COGNITIVE
PROCESSING
M.B. Khatri & P.G. Madhavan, Indiana-Purdue University, Indianapolis. ANN
SIMULATION OF THE PLACE CELL PHENOMENON USING CUE SIZE RATIO
Mark M. Millonas, University of Texas at Austin. CONNECTIONISM AND SWARM
INTELLIGENCE
---------------------------------------------------------------------------
---------------------------------------------------------------------------
Tutorials I - Friday 8:30am-11:45am
-------------------------------------
Phil Best, Miami University. PROCESSING OF SPATIAL INFORMATION IN THE BRAIN"
Bill Frederick, Indiana-Purdue University. INTRODUCTION TO FUZZY LOGIC
Helmut Heller, University of Illinois. INTRODUCTION TO TRANSPUTER SYSTEMS
Arun Jagota, SUNY-Buffalo. THE HOPFIELD NETWORK, ASSOCIATIVE MEMORIES, AND
OPTIMIZATION
Tutorials II - Friday 1:15pm-4:30pm
-------------------------------------
Krzysztof J. Cios, University Of Toledo. SELF-GENERATING NEURAL NETWORK
ALGORITHM : CID3 APPLICATION TO CARDIOLOGY
Robert J. Jannarone, University of South Carolina. REAL-TIME NEUROCOMPUTING,
AN INTRODUCTION
Network Analysis I - Friday 6pm-7:30pm
----------------------------------------
M.R. Banan & K.D. Hjelmstad, University of Illinois at Urbana-Champaign. A
SUPERVISED TRAINING ENVIRONMENT BASED ON LOCAL ADAPTATION, FUZZI-
NESS, AND SIMULATION
Pranab K. Das II, University of Texas at Austin. CHAOS IN A SYSTEM OF FEW
NEURONS
Arun Maskara & Andrew Noetzel, New Jersey Institute of Technology. FORCED
LEARNING IN SIMPLE RECURRENT NEURAL NETWORKS
Samir I. Sayegh, Indiana-Purdue University. SEQUENTIAL VS CUMULATIVE UPDATE:
AN ยน EXPANSION
D.A. Brown, P.L.N. Murthy, & L. Berke, The College of Wooster. SELF-
ADAPTATION IN BACKPROPAGATION NETWORKS THROUGH VARIABLE
DECOMPOSITION AND OUTPUT SET DECOMPOSITION
Applications II - Friday 7:50pm-9pm
-------------------------------------
Susith Fernando & Karan Watson, Texas A & M University. ANNs TO INCORPORATE
ENVIRONMENTAL FACTORS IN HI FAULTS DETECTION
D.K. Singh, G.V. Kudav, & T.T. Maxwell, Youngstown State University.
FUNCTIONAL MAPPING OF SURFACE PRESSURES ON 2-D AUTOMOTIVE SHAPES
BY NEURAL NETWORKS
K. Hooks, A. Malkani, & L. C. Rabelo, Ohio University. APPLICATION OF
ARTIFICIAL NEURAL NETWORKS IN QUALITY CONTROL CHARTS
B.E. Stephens & P.G. Madhavan, Purdue University at Indianapolis. SIMPLE
NONLINEAR CURVE FITTING USING THE ARTIFICIAL NEURAL NETWORK
-------------------------------------------------------------------------------
-------------------------------------------------------------------------------
Network Analysis II - Saturday 9am-10:30am
-------------------------------------------
Sandip Sen, University of Michigan. NOISE SENSITIVITY IN A SIMPLE CLASSIFIER
SYSTEM
Xin Wang, University of Southern California. DYNAMICS OF DISCRETE-TIME
RECURRENT NEURAL NETWORKS: PATTERN FORMATION AND EVOLUTION
Zhenni Wang and Christine Di Massimo, University of Newcastle. A PROCEDURE
FOR DETERMINING THE CANONICAL STRUCTURE OF MULTILAYER NEURAL
NETWORKS
Srikanth Radhakrishnan, Tulane University. PATTERN CLASSIFICATION USING THE
HYBRID COULOMB ENERGY NETWORK
Biological and Cooperative Phenomena Optimization II - Saturday 10:50am-12noon
-------------------------------------------------------------------------------
J. Wu, M. Penna, P.G. Madhavan, & L. Zheng, Purdue University at
Indianapolis. COGNITIVE MAP BUILDING AND NAVIGATION
C. Zhu, J. Wu, & Michael A. Penna, Purdue University at Indianapolis. USING
THE NADEL TO SOLVE THE CORRESPONDENCE PROBLEM
Arun Jagota, SUNY-Buffalo. COMPUTATIONAL COMPLEXITY OF ANALYZING A
HOPFIELD-CLIQUE NETWORK
Assaad Makki, & Pepe Siy, Wayne State University. OPTIMAL SOLUTIONS BY
MODIFIED HOPFIELD NEURAL NETWORKS