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Neural network architecture designed for large-scale and the generalization is poor, presents a neural network algorithm for fast pruning based on significance analysis. The essence of the method is based on large-scale neural network perceptron as the research object, the constructor error curved surface model to analyze the network connection weights of disturbance on the network output error caused...
In this paper, we present the principal techniques of modeling a wheelchair like mobile robot by neural network. Direct and inverse neural models are elaborated with the consideration of complex, non-linear and non-holonomic system. Our aim is to obtain the perfect model, by generalizing the model, to use it later for control. One will describe the steps to model the system by neural networks.
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