我们的期望是软件将在这些设备间分布式使用，根据需要提供功能性，或者平衡处理来满足不可预知的负载。
The expectation is that the software will be distributed across these devices to provide functionality as often as needed or to balance processing to meet unpredictable loads.
具体地说，无状态原则保证分布式服务器可以平衡请求处理负载，而客户机不会注意到差异。
Specifically, the stateless principle guarantees that distributed servers can balance the load of processing requests while the clients do not notice the difference.
本文将专家在平衡—模拟倒摆小车时记录下来的数据经处理后，用监督式学习的方法训练一前置式神经网络。
In this paper, we present a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
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