alarm systems; geomorphology; hazards; neural nets; rain; risk management; weather forecasting; Coonoor; Nilgiris; Tamil Nadu hilly district; artificial neural network; daily rainfall forecasting; daily recorded rainfall intensity; day advance rainfall intensity prediction; huge resource loss; landslide early warning system; landslide occurrence risk assessment; landslide occurrence risk evaluation; major geo hazard; meteorological parameter supplement; rain gauge station; rainfall data adequacy; rainfall data efficiency; rainfall threshold; sensitivity analysis; Artificial neural networks; Educational institutions; Forecasting; Predictive models; Rail transportation; Terrain factors; Nilgiris; antecedent rainfall; artificial neural networks; landslides; rainfall thresholds; sensitivity analysis;
机译:人工神经网络在预测热带地区降雨的每日发生和年度深度方面的性能
机译:利用人工神经网络进行降雨诱发的滑坡灾害评估
机译:人工神经网络集成在时间序列预测中:降雨预报在斯里兰卡的应用
机译:利用人工神经网络降雨 - 径流模型
机译:通过人工神经网络为时空救护车需求开发准确的预测模型:现有预测技术与人工神经网络的比较研究。
机译:利用人工神经网络估算哥伦比亚西南部每月降雨量的缺失数据
机译:“通过人工神经网络预测降雨诱导滑坡运动”