Solving differential equations with neural networks: Implementation on a DSP platform

International Conference on Digital Signal Processing, DSP

Volumn 2, Issue , 2002, Pages 1265-1268

  Valasoulis, K ^a   Fotiadis, D I ^a   Lagans, I E ^a   Likas, A ^a  

^a UNIVERSITY OF IOANNINA   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL SIGNAL PROCESSING; DIGITAL SIGNAL PROCESSORS; HARDWARE; NEURAL NETWORKS; ORDINARY DIFFERENTIAL EQUATIONS;

ADJUSTABLE PARAMETERS; DSP PLATFORMS; HARDWARE IMPLEMENTATIONS; HARDWARE PLATFORM; ORDINARY AND PARTIAL DIFFERENTIAL EQUATIONS; PC-BASED IMPLEMENTATION; PERFORMANCE ISSUES; TRAINING PROCEDURES;

SIGNAL PROCESSING;

EID: 70350715570     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSP.2002.1028323     Document Type: Conference Paper

References (6)

1. Daytona Technical Reference, www.spectrumsignal.com, 2000.
2. TMS320C600 Code Composer Studio Tutorial, www.ti.com, 2000.
3. I. E. Lagaris, A. Likas and D. I. Fotiadis, Artificial Neural Networks for Solving Ordinary and Partial Differential Equations, IEEE Trans, on Neural Networks, vol. 9, no. 5, pp. 987-1000, 1998.
4. I. E. Lagaris, A. Likas and D. G. Papageorgiou, Neural Networks Methods for Boundary Value Problems with Irregular Boundaries, IEEE Trans, on Neural Networks, vol. 11, no. 5, pp. 1041-1049, 2000.
5. R. Fletcher, Practical methods of optimization, second edition, John Wiley 1987.
6. I.E. Lagaris, A. Likas and D.I. Fotiadis, Artificial Neural Network Methods in Quantum Mechanics, Computer Physics Communications, vol. 104, pp. 1-14, 1997.