In the thesis, based on time sequence statistical data, applying ANN multi-step prediction and rolling prediction, tourist income and tourist quantities forecasting model is established.
论文中，主要是基于旅游需求的时间序列统计数据，应用人工神经网络多步预测和滚动预测方法，建立旅游收入神经网络预测模型和旅游人数神经网络预测模型。
参考来源 - 基于人工神经网络的旅游需求预测理论与实证研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Adaptively controlling algorithm based on neural network of multi-step prediction was proposed for the industrial processes.
针对工业过程的特点和控制要求，提出一种基于多步预测的神经网络自适应控制算法。
Aiming at the issue about multi-step prediction of the traffic flow chaotic time series, a fast learning algorithm of wavelet neural network (WNN) based on chaotic mechanism is proposed.
针对交通流量混沌时间序列多步预测的问题，提出了一种基于混沌机理的小波神经网络(WNN)快速学习算法。
Simulation res ults prove that this new multi-step prediction based on PID-like neural network control system can effectively attenuate random noise interference and is more robust and adaptive.
仿真实验表明，基于多步预测的PID型神经网络控制系统能有效抑制随机干扰，具有较强的适应性和鲁棒性。
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