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- W1602690784 abstract "We found that neuron model is inadequate owing to its defects such as those inherent in its structure and in its capability of information storage. So we propose an intelligent neurons assemblage model with generalized wavelet basis function network as its excited function. Not only the wavelet neural networks' convergence rate is much faster and its nonlinear approach capability is much better but also its intelligent characteristics, such as the variable-scale adaptive adjustment of structure and the generalized information storage, make it reflect much more faith fully the biological original. Static learning of the inverse dynamics model and adaptive virtual torque control based on Lyapunov stability of the carrying robot walking are demonstrated to prove that the proposed mechanism is valid." @default.
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- W1602690784 date "2008-08-31" @default.
- W1602690784 modified "2023-09-23" @default.
- W1602690784 title "An Application of Wavelet Networks in the Carrying Robot Walking" @default.
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- W1602690784 doi "https://doi.org/10.1007/978-3-540-87734-9_22" @default.
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