The Recognition and Research of Improved Probabilistic Neural Network

Abstract:

Probabilistic neural network compared with the traditional BP neural network structure is simpler and it is faster to be identificated, so it is widely used in the field of pattern recognition. This paper is mainly focused on similar gesture recognition research, propose an probabilistic neural network gesture recognition algorithm. The simulation results show that the improved probabilistic neural network algorithm on the recognition rate and training time is better than the traditional BP network.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 2819-2824
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.2819
• Online since: September 2013
• Authors: Xiao Jing Shang
• Keywords: Feature Extraction, Particle Swarm Optimization (PSO), Pattern Recognition, Probabilistic Neural Network

References

[1] JIN D W, WANG R CH. Artificial intelligent prosthesis[J]. Chinese J. Clinical Rehabilitation, 2002, 5 (20): 2994-2995.

[2] Paclik P, Novovicova J, Pudil P. Road sign classification using Laplace classifier [J]. Pattern Recognition Letters, 2000, 21(13~14): 1165~1173.

DOI: 10.1016/s0167-8655(00)00078-7

[3] Escalera A de la, Armingol J M, Salchs M A, et al. Road traffic sign detection and classification[J]. IEEE Transactions on Industronics, 1997, 44(6): 848~859.

DOI: 10.1109/41.649946

[4] Luo C R, Potlapalli H, Hislop D. Traffic sign recognition in outdoor environments using reconfigurable neural networks [A]. Proceedings of the International Joint Conference on Neural Networks[C]. Nagoya, Japan, 1993: 1306~1309.

DOI: 10.1109/ijcnn.1993.716785

[5] Estable S, Schick J, Stein F, et al. Real-time traffic sign recognition system [A]. Proceedings of the Intelligent Vehicle' 94 Symposium [C]. Paris, France, 1994: 213~218.

DOI: 10.1109/ivs.1994.639506

[6] Bessere B, Estable S, Ulmer B, et al. Shape classification for traffic sign recognition [A]. Proceedings lst IFAC International Workshop Intelligent Autonomous Vehicles[C]. 1993: 487~492.

DOI: 10.1016/s1474-6670(17)49347-5

[7] Sueteus P, Fua P, Hanson A J. Computational strategies for object recognition[J]. ACM Computing Surveys, 1992, 24(1): 5~61.

DOI: 10.1145/128762.128763

[8] Specht D. Probabilistic neural network[J]. Neural Networks, 1990, 3(1): 109~118.

[9] McDuff R J, Simpson P K. An Investigation of Neural Networks for F-16 Fault Dignosis: II. System Performance[A]. SPIE 1294 Application of Artificial Neural Networks[C]. 1990: 42~45.