提出一类基于基函数展开的双隐层过程神经元网络模型。
A class of process neural network model with two hidden-layer based on expansion of basis function is brought forward.
针对与时间过程有关的模式分类问题，提出了一种自组织过程神经元网络模型。
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
针对动态系统过程预测预报问题，提出了一种基于过程神经元网络的动态预测方法。
A dynamic prediction method based on process neural networks is proposed for the process forecasting and prediction problem of dynamic system.
针对动态信号模式分类问题，提出了一种反馈过程神经元网络模型和基于该模型的分类方法。
To solve the classification of dynamic signal, this paper proposed a feedback process neural networks model and classification methods based on this model.
针对油田开发中、后期的水淹层判别问题，提出了一种基于过程神经元网络的自动识别方法。
A method based on process neural network for automatically identifying water-flooded formations in middle or late period of oilfield development was proposed.
为解决过程神经元网络训练涉及的时域聚合运算问题，提出了过程神经元网络的一种学习算法。
Aiming at process neural network aggregation operation problem in time field, a training method of PNN is shown.
为解决过程神经元网络训练涉及的时域聚合运算问题，提出了过程神经元网络的一种学习算法。
Aiming at procedure neural network (PNN) 's aggregation in time field, a training method of PNN is shown.
针对实际系统的输入输出是与时间有关的连续过程，提出了一类用于连续过程逼近的过程神经元网络模型。
For the problem that the input and output of real systems is a continuous process relative to time, this paper proposed a process neural network model for continuous function approximation.
该模型利用过程神经元网络所具有的对时间变量的非线性映射能力，实现系统的输入、输出之间的连续映射关系。
In this model, the continuous input-output mapping of the system is realized by nonlinear mapping capability to the time variable of process neural networks.
采用基于时域特征扩展和基于正交分解特征扩展两种方式建立过程神经元网络模型，利用电力负荷数据进行网络训练和负荷预测。
The two different ways based on the time-domain feature expansion and the orthogonal decomposition feature expansion are used to establish process neural networks model.
采用过程神经元网络提取手写体汉字各类型笔形，统计各类型笔形和相交点的数量，从而建立手写体汉字特征知识的数据结构表。
The style, number and number of joint and crossover of complex strokes were accumulated, and a kind of characteristic knowledge data-base table of handwritten Chinese characters was constructed.
本文提出一种基于两个神经元网络的模糊参数自校正控制器，实现活性污泥过程的智能控制。
This paper puts forward a parameter self-tuning fuzzy controller based on two neural networks to actualize intelligent control of the activated sludge process.
对于培养的神经元网络而言，学习是外界刺激与网络响应之间联系建立和调控的过程。
Learning a new behavior is an exploration process that involves the formation and the modulation of association set between stimuli and neuronal networks responses.
利用该人工神经元网络模型，在具体的公路隧道仰坡设计中进行应用，并可以在施工过程中进行随地质条件变化的动态控制设计，进一步完善该网络模型。
The ANN model is applied in the real tunnel designs and the model is use in the building process so the network can be made perfect.
利用神经元网络模型预测涡轴发动机动态响应过程，得到预测模型；
A neural network model is used to predict the dynamic response of the turboshaft engine and generate the predictive model of the NMPC;
利用神经元网络模型预测涡轴发动机动态响应过程，得到预测模型；
A neural network model is used to predict the dynamic response of the turboshaft engine and generate the predictive model of the NMPC;
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