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The feedback Group Method of Data Handling (GMDH)-type neural network algorithm is proposed and is applied to the nonlinear system identification. In this feedback GMDH-type neural network algorithm, the optimum neural network architecture is automatically selected from three types of neural network architectures such as the sigmoid function type neural network, the radial basis function (RBF) type...
The present paper proposes a multiple neural network to determine the movement intended by an amputee from electromyogram (EMG) signals. Most previous approaches to the discrimination of movements using EMG signals have required measurement data with a relative long period exceeding 200 ms. Our approach is possible to identify the amputee's intended movement based on EMG signals of 70 ms long in an...
Regardless of complex, unknown, and dynamically-changing environments, living creatures can recognize situated environments and behave adaptively by theirselves in real-time. However it is impossible to prepare optimal motion trajectories with respect to every possible situations in advance. The key concept for realizing suitable environmental cognition and motor adaptation is a context-based elicitation...
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