过程神经元网络(Process Neural Networks)的输入由几何点式数据变为时间信号,是瞬时输入到过程输入的推广,可看作是学习样本特征的扩展。采用基于时域特征扩展和基 .
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过程神经元网络(Process Neural Networks,PNN)是针对实际问题中许多系统的输入是依赖于时间变化的一个过程,一些控制信号的输出即依赖于输入信号的空间聚...
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... 过程神经网络 process neural networks 过程系统工程 process systems engineering 过程哲学 Process Philosophy ...
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feedback process neural networks 反馈过程神经元网络
multi-aggregation process neural networks 多聚合过程神经元网络
continuous process neural networks 连续过程神经元网络
feedforward process neural networks 前馈过程神经网络
self-organization process neural networks 自组织过程神经网络
structural formula process neural networks 分式过程神经元网络
Neural Networks for Process Modeling 过程建模的神经网络
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。
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。
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.
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。
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