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Solving subharmonic and ultraharmonic resonance periodic solutions of strongly nonlinear conservative systems with the MLP method
用MLP法求强非线性保守系统的次谐共振周期解
Objective To explore the application of MLP neural network in image diagnoses of cervix cells .
目的探讨MLP神经网络在宫颈细胞图像识别中的应用。
The MLP Method for Subharmonic and Ultraharmonic Resonance Solutions of Strongly Nonlinear Systems
求强非线性系统次谐共振解的MLP方法
An MLP Based Intelligent Power Prediction Control Strategy for Hydroelectric Generating Sets Operating in a Large Network
大电网并列运行水电机组功率智能预测控制
The Classification Model of RS Images Based on Artificial Neural Network & MLP
基于人工神经网络&多层感知器(MLP)的遥感影像分类模型
A novel algebraic training algorithm for a three - layered MLP is proposed in this paper .
本文针对三层前馈网络提出一种全新的学习算法。
This initializing method can also be used as fast training algorithm for H - MLP network .
该初始化方法同时可作为H-MLP网络的一种快速训练算法。
It can improve the system 's performance if use three MLP fusion classifiers to make decision fusion .
利用三个人工神经网络分类器分别的识别结果,进行决策层融合,可以进一步提高整个系统的识别性能。
The Application of MLP Neural Network in Image Diagnosis of Cervix Cell
MLP神经网络在子宫颈细胞图像识别中的应用
Subsequently , a MLP network is applied to fault patterns recognition .
随后的多层感知器执行故障模式识别。