The method can be extended to more types of neural networks, provide a reliable basis for the neural network hardware implementation .
该方法可以推广至更多类型的神经网络,为神经网络的硬件实现提供了可靠的基础。
Implementing force control for a service robot calls for high real-time characteristic. Using hardware neural network to implement control can achieve better performance.
对服务机器人实施力控制,要求实时性较高,采用神经网络的硬件实现方式实施控制,才能使系统达到更好的性能。
Neural network possesses many of advantages : simple structure, easy implementation in hardware, the basic parallel computational architecture, etc.
人工神经网络的特点是:结构简单、能够大规模并行、容易用硬件实现等。
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