1/9/98

Neural Networks and Fuzzy Systems

Six years of joint research between Politecnico di Torino (I), Universita' di Pisa (I) and Scuola Superiore Sant'Anna di Pisa (I)

Selected Papers

List of papers                             Research Group


Edited by L.M. Reyneri and M. Chiaberge - September 1998

Foreword

This collection contains selected papers covering the various research activities on Neural Networks and Fuzzy Systems carried on jointly at the Department of Electronics of Politecnico di Torino (I), at the Interdepartmental Mechatronics Laboratory of Politecnico di Torino (I), at the Department of Information Engineering of Universita' di Pisa (I) and at the PERCRO Lab of Scuola Superiore Sant'Anna di Pisa (I), throughout the years 1992-1998.

Research on Neural Networks started at Department of Electronics of Politecnico di Torino as early as in 1971, with the development of a hardware implementation (based on standard transistors and integrated circuits) of a simple single layer perceptron, which was a case of study at that time.

Research on more recent architectures, theories and implementations started to grow more and more at Department of Electronics in 1988, first with the design of a VLSI implementation of a multi-layer neural network, followed by few VLSI devices built using different technologies.

The promising results obtained spurred an aggregation of research efforts and the Neuro-Fuzzy Group began to acquire its identity within the Department of Electronics of Politecnico di Torino. In 1992, the Neuro-Fuzzy Group started a tight and fruitful cooperation with the Department of Information Engineering of Universita' di Pisa and, since 1996, with the Interdepartmental Mechatronics Laboratory of Politecnico di Torino and the PERCRO Lab at Scuola Superiore Sant'Anna di Pisa.

Since then the joint research of the Neuro-Fuzzy Group at Politecnico di Torino and its partners has covered several aspects in the field of Neural and Wavelet Networks and Fuzzy Systems, such as, among others:

All these activities are documented by the papers contained in this selection, most of which have been published in international journals. This collection has been subdivided in seven parts, to cover all the branches of the Neuro-Fuzzy technology which have been considered so far.

The Department of Electronics of Politecnico di Torino and its partners have taken part in a few research projects of both the European Community (among others: ESPRIT-NERVES, EEC-CAPRI, MEPI (two projects)), and the Italian Government (among others: ASI), and is actively working in cooperation with several Italian and European industries.

Additional information on the Neuro-Fuzzy Group at Politecnico di Torino is available at: http://polimage.polito.it

Research Group Personnel

Selected Papers

PART 1 - Hybrid Intelligent Control and Applications

  1. B. Lazzerini, L.M. Reyneri, M. Chiaberge, A Neuro-Fuzzy Approach to Hybrid Intelligent Control, in IEEE Trans. on Industry Applications, 1999
  2. F. Berardi, M. Chiaberge, E. Miranda, L.M. Reyneri, A Walking Hexapod Machine Controlled by a Neuro-Fuzzy System, in Proc. of MCPA 97, Int'l Workshop on Mechatronical Computer Systems for Perception and Action, Pisa (I), 10-12 February 1997, pp. 95-104
  3. B. Bona, S. Carabelli, M. Chiaberge, E. Miranda, L.M. Reyneri, Hybrid Neuro-Fuzzy System for Control of Complex Plants, in Proc. of ISIE 98, Int'l Symposium on Industrial Electronics, Pretoria (South Africa), 7-10 July 1998
  4. M. Chiaberge, E. Miranda, L.M. Reyneri, C. Sansoe', G. Genta, R. Somma, M.A. Perino, An Autonomous Micro-Hexapode Walking Machine for Planetary Explorations, brochure

Part 2 - Function Approximation and Applications

  1. V. Colla, L.M. Reyneri, M. Sgarbi, Parametric Characterization of Jominy Profiles in Steel Industry by Means of Wavelet and Neural Networks, submitted to Journal of Integrated Computer-Aided Engineering, John Wiley & Sons, New York, 1999
  2. V. Colla, M. Sgarbi, L.M. Reyneri, A.M. Sabatini, A Neural Approach to a Sensor Fusion Problem, in Proc. of ESANN 98, Bruges (B), 22-24 April 1998, pp. 357-362
  3. L.M. Reyneri, V. Colla, M. Sgarbi, A Comparison Between Weighted Radial Basis Functions Networks and Wavelet Networks, in Proc. of ESANN 98, Bruges (B), 22-24 April 1998, pp. 13-19

Part 3 - Neuro-Fuzzy Algorithms

  1. L.M. Reyneri, Unification of Neural and Wavelet Networks and Fuzzy Systems, submitted to IEEE Trans. on Neural Networks, 1998
  2. L.M. Reyneri, An Introduction to Fuzzy State Automata, in Proc. of IWANN 97, Int'l Workshop on Artificial Neural Networks, Lanzarote (E), June 1997, pp. 273-283
  3. L.M.Reyneri, Weighted Radial Basis Functions for Improved Pattern Recognition and Signal Processing, in Neural Processing Letters, Vol. 2, No. 3, May 1995, pp. 2-6

Part 4 - Performance Analysis of Neuro-Fuzzy Algorithms

  1. L.M. Reyneri e E. Filippi, An Analysis on the Performance of Silicon Implementations of Backpropagation Algorithms for Artificial Neural Networks, in IEEE Transactions on Computers, Vol. 40, no. 12, December 1991, pp. 1380-1389
  2. L.M. Reyneri, M. Sgarbi, Performance of Weighted Radial Basis Function Classifiers, in Proc. of ESANN 97, European Symposium on Artificial Neural Networks, Bruges (B), April 1997, pp. 19-25
  3. M. Chiaberge, J.J. Merelo, L.M. Reyneri, A. Prieto, L. Zocca, A Comparison of Neural Networks, Linear Controllers, Genetic Algorithms and Simulated Annealing for Real Time Control, in Proc. of ESANN 94, European Symposium on Artificial Neural Networks, Brussels (B), April 1994

Part 5 - Hardware Implementations and Systems

  1. B. Bona, S. Carabelli, M. Chiaberge, E. Miranda, L.M. Reyneri, Neuro-Fuzzy Hardware and DSPs: a Promising Marriage for Control of Complex Systems, in Proc. of MICRONEURO 97, Int'l Conf. on Microelectronics for Neural Networks and Fuzzy Systems, Dresden (D), September 1997, pp. 113-120
  2. L.M. Reyneri, M. Chiaberge, L. Zocca, CINTIA: A Neuro-Fuzzy Real Time Controller for Low Power Embedded Systems, in IEEE MICRO, Special Issue on Hardware for Artificial Neural Networks, June 1995, pp. 40-47
  3. M. Chiaberge, E. Miranda, L. Reyneri, An Hybrid Digital Neuro-Fuzzy Board for Control of Complex Systems, in Proc. of IEEE Conf. on Systems Man and Cybernetics, San Diego (CA), October, 1998 % pp. (to be published)
  4. Overview of OpenDSP System, data sheet

Part 6 - Neuro-Fuzzy VLSI Chips

  1. M. Chiaberge, E. Miranda Sologuren, L.M. Reyneri, A Pulse Stream System for Low Power Neuro-Fuzzy Computation, in IEEE Trans. on Circuits and Systems - I, Vol. 42, no. 11, November 1995, pp. 946-954
  2. L.M. Reyneri, F. Gregoretti, B. Lazzerini, R. Passerone, A 32-neurons Slice for High Speed Handwriting Recognition, in Proc. of MICRONEURO 97, Int'l Conf. on Microelectronics for Neural Networks and Fuzzy Ststems, Dresden (D), September 1997, pp. 40-49
  3. L.M. Reyneri, M. Chiaberge, D. Del Corso, Using Coherent Pulse Width and Edge Modulations in Artificial Neural Systems, in Int'l Journal on Neural Systems, Vol. 4, no. 4, December 1993, pp. 407-417
  4. L.M. Reyneri, Neuro-Fuzzy Hardware: Design, Development and Performance, in Proc. of FEPPCON III, Skukuza (South Africa), 12-15 July 1998.

Part 7 - Pulse Stream Systems

  1. L.M. Reyneri, A Performance Analysis of Pulse Stream Neural and Fuzzy Computing Systems, in IEEE Trans. on Circuits and Systems - II, Vol. 42, no. 10, October 1995, pp. 642-660
  2. L.M. Reyneri, H.C.A.M. Withagen, J.A. Hegt, M. Chiaberge, A Comparison between Analog and Pulse Stream VLSI Hardware for Neural Networks and Fuzzy Systems, in Proc. of MICRONEURO 94, Int'l Conf. on Microelectronics for Neural Networks and Fuzzy Systems, Torino (I), September 1994, IEEE Computer Society Press, pp. 77-86
  3. D. Del Corso, F. Gregoretti, C. Pellegrini, L.M. Reyneri, An Artificial Neural Network Based on Multiplexed Pulse Streams, in Proc. of MICRONEURO 90, Int'l Workshop on Microelectronics for Neural Networks, Dortmund, 25-26 June 1990, pp. 28-39

Part 8 - Handwriting Recognition

  1. B. Lazzerini, F. Marcelloni, L.M. Reyneri, Beatrix: A Self-Learning System for Off-line Recognition of Handwritten Texts, in Pattern Recognition Letters, Elsevier, New York, no. 18, October 1997, pp. 583-594
  2. B. Lazzerini, L.M. Reyneri, F. Gregoretti, A. Mariani, Mixing Neural Networks and Contextual Analysis in a High-Speed Handwriting Recognizer, in Int'l Journal of Knowledge-Based Intelligent Engineering Systems, Vol. 2, No. 3, July 1998, pp. 164-177.
  3. S. Zickenheiner, F. Henritzi, K. Waldschmidt, E. Rossi, L. Schiuma, L.M. Reyneri, B. Lazzerini, Accelerating Neural Based Recognition of Handwritten Sentences by Dataflow Computation, in Proc. of NEURAP 95'96, Marseilles (F), March 1996, pp. 243-250