An approach for the realisation of bio-inspired systems on programmable logic devices

Proceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technolgoy, CBGIST 2001

Volumn , Issue , 2001, Pages 116-120

  Glackin, B P ^a   Maguire, L P ^a   McGinnity, T M ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOMEDICAL ENGINEERING; EVOLUTIONARY ALGORITHMS; FUZZY SETS; MICROCONTROLLERS; NEURAL NETWORKS; PROGRAMMABLE LOGIC CONTROLLERS;

BIO INSPIRED SYSTEM; EVOLVABLE HARDWARE; PROGRAMMABLE LOGIC DEVICES;

EMBEDDED SYSTEMS;

EID: 1842453360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. De Garis: "Evolvable hardware: the genetic programming of Darwin machines", Proc of Int Conf on Artificial Neural Nets and Genetic Algorithms, pp. 441-449, Austria, 1993.
2. Ortega, C; Tyrrell, A.; "Evolvable hardware for fault-tolerant applications", IEE Colloquium Evolvable Hardware Systems, pp 4/1-5, 1998.
3. Mange, D. et al, "Embryonics: a new methodology for designing field-programmable gate arrays with self-repair and self-replicating properties", IEEE Trans on VLSI Systems, Vol. 6 No.3, pp. 387-99, 1998.
4. Thompson, A; "An evolved circuit, intrinsic in silicon, entwined with physics", Evolvable Systems: From Biology to Hardware, ICES96, pp. 390-405, 1996.
5. Sipper, M.; Mange, D; Sanchez, E.; "Quo vadis evolvable hardware?", Communications of the ACM, Vol.42 No.4, pp. 50-8, 1999.
6. Stoica, A; "Toward evolvable hardware chips: Experiments with a programmable transistor array", Proc. IEEE Microneuro99, IEEE Comput. Soc. pp. 156-162, 1999.
7. Higuchi, T et al "Real-world applications of analog and digital evolvable hardware", IEEE Trans Evolutionary Computation, vol.3 No.3, pp. 220-235, 1999.
8. Maguire, LP; McGinnity, TM; Glackin, BP: "Hybrid Intelligent Architectures using a Neurofuzzy Approach", invited paper for CoIL 2000, pp 17-23, June 2000.
9. Kasabov, N; "Evolving fuzzy neural networks: theory and applications for on-line adaptive prediction, decision making and control", Australian Journal of Intelligent Information Processing Systems, Vol.5, No.3, pp.154-160, 1998.
10. Russo, F; "Evolutionary neural fuzzy systems for noise cancellation in image data", IEEE Trans on Instrumentation & Measurement, Vol.48, No.5, pp.915-920, 1999
11. Yao, X; "Evolving artificial neural networks", Proc. of the IEEE, Vol.87, No.9, pp.1423-47, 1999.
12. Blake, JJ; TM McGinnity, LP Maguire: "The Implementation Of Fuzzy Systems, Neural Networks and Fuzzy Neural Networks Using FPGAs", Information Sciences, Vol. 112, No.1-4, pp.151-68, 1998.
13. Hollingworth, G; Smith, S; Tyrell, A; "The intrinsic Evolution of Virtex Devices Through Internet Reconfigurable Logic", Proc. ICES 2000, Lecture Notes in Computer Science, Vol 1801, pp.72-79, 2000.
14. Slorach, S; Sharman, K; "The Design and Implementation of Custom Architectures for Evolvable Hardware using Off-the-Shelf Programmable Devices", Proc. ICES 2000, Lecture Notes in Computer Science, Vol 1801, pp. 197-207, 2000.
15. Levi, D; Guccione, SA; "GeneticFPGA: evolving stable circuits on mainstream FPGA devices", Proc NASA/DoD Workshop on Evolvable Hardware. IEEE Comput. Soc, pp.12-17, 1999.
16. Macias, NJ; "The PIG paradigm: the design and use of a massively parallel fine grained self-reconfigurable infinitely scalable architecture", Proceedings of the First NASA/DoD Workshop on Evolvable Hardware, IEEE Comput. Soc, pp.175-80, 1999.