The method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
介绍了在批量处理时间序列情况下，BP神经网络辨识预测电力负荷的方法和步骤。
Principles of fuzzy neural network and FNN method are adopted for the numerical simulation of network modeling and forecasting of beams with finite deformation of two different materials.
本文运用模糊神经网络原理，采用学习结合型FNN方法，针对两种不同材料梁的大变形进行了网络建模和预测的数值仿真。
The fault forecasting technique and the numerical forecasting method are studied. An algorithm is given for the neural network in the course of forecasting.
探讨了故障预报技术的应用及其数值预测方法，给出了神经网络模型在预测过程中的算法。
A method of forecasting the total solar irradiance based on blind source separation (BSS) neural network was presented.
提出一种应用盲分离神经网络预测逐日太阳辐射能的方法。
A reduced dimensions method applying neural network is proposed for short term load forecasting.
提出一种采用神经网络进行电力系统短期负荷预测的降维方法。
This paper presents a method based on BP neural network for a stock market modeling, forecasting and deciding.
给出一种基于BP神经网络的股票市场建模、预测及决策方法。
A method of forecasting the total solar irradiance based on blind source separation (BSS) neural network was pre - sented.
提出一种应用盲分离神经网络预测逐日太阳辐射能的方法。
A hybrid method based on chaos and neural network was used in the study of the electric power system short-term load forecasting.
提出了一种将混沌和神经网络相结合的方法用于短期负荷预测。
The artificial neural network (Ann) method is studied for use in river channel flood forecasting, the result show that the method can be applied in practice.
论文探索了人工神经网络方法(ANN)在河道洪水预报中的应用；该结果具有一定实用前景。
In this paper we propose a method for short-term load forecasting using artificial neural network.
本文提出了一种应用人工神经网络进行电力系统短期负荷预测的方法。
A water quality forecasting method coupling with artificial neural network was proposed based on on-line water quality monitoring system.
在原水水质在线监测系统的基础上，建立了基于神经网络的水质预测方法。
Case study shows that this method is more accurate and faster than single grey prediction and single neural network method. It is a useful method for long term load forecasting.
最后采用我国某省年用电量的预测的算例表明该方法的预测精度优于单一的灰色预测和单一的神经网络预测方法，为电力系统长期负荷预测提供了一种有用的方法。
An artificial neural network method is proposed for hydrological forecasting, the hybrid gradient method for multilayer feedforward neural network developed.
提出了径流长期分级预报的人工神经网络方法，给出了多层前馈网络的联合梯度算法。
The authors establish the forecasting model for water yield of mine, combining neural network model with the partial least square method.
将偏最小二乘回归与神经网络耦合，建立了矿坑涌水预报模型。
The number of automobiles owned by China in 2000, 2005 and 2010 was forecasted based on BP neural network. The results by this method were compared with those of gray forecasting.
利用改进的BP神经网络对中国2000年、2005年、2010年的汽车保有量进行预测，并与灰色预测的结果进行对比。
The method dividing the target state by freedom degrees and forecasting by MAS and neural network subnet is proposed. Correctness and evaluated antigen are tested by the simulation of example.
提出将目标状态按自由度划分，分别进行基于MAS的神经网络子网识别预测，利用MAS和神经网络的组网原理进行目标识别的思想，并对此进行仿真验证。
The method dividing the target state by freedom degrees and forecasting by MAS and neural network subnet is proposed. Correctness and evaluated antigen are tested by the simulation of example.
提出将目标状态按自由度划分，分别进行基于MAS的神经网络子网识别预测，利用MAS和神经网络的组网原理进行目标识别的思想，并对此进行仿真验证。
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