Evolving neural networks for static single-position automated trading
Journal of Artificial Evolution and Applications - Regular issue
Fuzzy Support Vector Machine for EMG Pattern Recognition and Myoelectrical Prosthesis Control
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
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This paper presents initial investigations into an evolutionary neural network suitable for gait analysis of human motion. The approach here is to develop an intelligent black box that can take the physiological signals (EMG) and interpret them to give accurate information on the position and movement of the knee (gait). Two MLP networks are presented with weight evolving algorithms employing mutation and crossover separately. Simulation results show the evolutionary algorithms exhibiting particularly better ability to generalise solutions, which is an important aspect for the reliability of EMG/gait map generation.