Forecasting the optimal business parameters of mines using time sequence model 用时间序列模型预测矿山最佳经营参数
A forecasting method of aero - engine wear faults based on gray time sequence model 基于灰色时序的航空发动机磨损故障预测模型
In the sixth chapter the application of sequence models to anomaly detection is studied 第六章是序列模式在异常检测中的应用。
The traditional logistics transportation amounts prediction ways mainly indicate liner regression and time sequence model 传统的物流运输量预测技术大多采用线性回归和时间序列技术。
When our country economics lies in the good stage , applying time sequence model can satisfy the demand of prediction precision 因此当我国经济步入良性稳定发展阶段时,仍可采用操作相对简便的时间序列技术以满足预测的精度要求。
Conclusion simulations for the electric power yield sequence and voyage sequence models show that this algorithm is practicable and effective 结论仿真试验结果证明了基于进化算子的季节时间序列模型是一种操作简便、易于实现的有效模型。
Abstract : based on the strong learning ability and nonlinear function approximation capacity of multi - layer perceptrons ( mlps ) , a generating chaotic sequence model is proposed in this paper 文摘:应用具有全局最优的进化规划算法建立产生混沌序列的优化神经网络模型。
This tool is centered on the user , under the user " s control , and to be capable to effectively mine the rule of time sequence model and the classification rule and the association rule in the database or data warehouse 设计并初步实现了一个数据挖掘原型系统,该工具以用户为中心,在用户的干预下能够有效的对现实数据库、数据仓库进行时间序列模式、分类规则和关联规则的挖掘。
At present commonly used mathematics models is based on statistics , such as time sequence model and regression model ( includes linear and nonlinear model ) , but ann which has been used extensively in many fields , is seldom used 目前常用的主要是基于统计学的数学模型:时间序列预测模型、回归模型(包括线性的和非线性的回归模型) ,对目前已在许多领域广泛应用的人工神经网络模型应用很少。