Simplified Generalized Multi-layer Perceptron Model and Its Learning Algorithm

Abstract

Abstract: This paper sets up a simplified generalized multi-layer perceptron model (SGMLP model). Two learning algorithms are proposed to train SGMLP network s. One is the generalized error back propagation algorithm (GBP), and the other is based on genetic algorithm (GA). Finally, experimental results of two typical benchmarks demonstrate that the new model and its learning algorithm are feasib le and efficient.

摘要： 提出了简化的广义多层感知机模型（SGMLP模型），并针对SGMLP模型给出了两种学习算法：广义误差反向传播算法（GBP算法）和基于遗传算法（GA）的学习算法。两个典型算例的实验结果表明，该模型及其学习算法是可行和有效的。

关键词: 简化的广义多层感知机, 遗传算法, 广义误差反向传播算法

CLC Number:

TP183

FANG Ning,LI Jingzhi,HE Guiming. Simplified Generalized Multi-layer Perceptron Model and Its Learning Algorithm[J]. , 2004, 30(01): 54-.

方宁,李景治,贺贵明. 简化的广义多层感知机模型及其学习算法[J]. , 2004, 30(01): 54-.

/ Recommend / Download Citations

URL: https://www.ecice06.com/EN/Y2004/V30/I01/54

[1]	GUO Hui, DING Chuntao, ZHANG Junna. GroupMNL: A Strong Robustness Convolutional Neural Network Design Method for Internet of Things Devices [J]. Computer Engineering, 2026, 52(11): 142-152.
[2]	WU Xing, YIN Haoyu, YAO Junfeng, LI Weimin, QIAN Quan. Multimodal Sentiment Analysis for Video Data [J]. Computer Engineering, 2024, 50(6): 218-227.
[3]	WEI Zhuoyi, LUO Mai, LI Wenbing, ZENG Yuansong, YU Weijiang, YANG Yuedong. Intelligent Single-Cell Classification Based on Multisource Domain Adaptation [J]. Computer Engineering, 2024, 50(6): 48-55.
[4]	ZHANG Huiyun, HUANG Heming. Research on Schema Multi-Domain Speech Emotion Recognition Based on Multi-Operation Network [J]. Computer Engineering, 2022, 48(7): 59-65.
[5]	YANG Minjie, LIANG Yaling, DU Minghui. YOLO Pruning Algorithm Based on Parameter Subspace and Scaling Factor [J]. Computer Engineering, 2021, 47(2): 111-117.
[6]	Xieraili Seti, Aishan Wumaier, WANG Lulu, Tuergen Yibulayin, MA Zhekang, Maihemuti Maimaiti. Named Entity Recognition for Chinese Tourism Texts Combining Word-Character Guided Attention Network [J]. Computer Engineering, 2021, 47(2): 39-45.
[7]	JI Fanfan, YANG Xin, YUAN Xiaotong. Structural Pruning Algorithm Based on Second-Order Information of Deep Neural Network [J]. Computer Engineering, 2021, 47(2): 12-18.
[8]	ZHANG Chiming, WANG Qingfeng, LIU Zhiqing, HUANG Jun, ZHOU Ying, LIU Qiyu, XU Weiyun. Pulmonary Nodule Auxiliary Diagnosis Method Based on Deep Transfer Learning [J]. Computer Engineering, 2020, 46(1): 271-278.
[9]	LIU Chongyang, LIU Qinrang. A Verification Method on Post-Pruning Generalization Ability of Neural Network Model [J]. Computer Engineering, 2019, 45(10): 234-238.
[10]	NIU Shuoshuo, CHAI Xiaoli, LI Deqi, XIE Bin. A Text Classification Algorithm Based on Neural Network and LDA [J]. Computer Engineering, 2019, 45(10): 208-214.
[11]	YANG Jing, XU Yan, ZHAO Xin. Gradient Descent Learning Algorithm for Spiking Neuron with Delay Adjustment [J]. Computer Engineering, 2019, 45(9): 169-175.
[12]	CHAI Mengting, ZHU Yuanping. Research and Application Progress of Generative Adversarial Networks [J]. Computer Engineering, 2019, 45(9): 222-234.
[13]	QIAN Qing,TANG Guizhong,ZHANG Guangsming,DENG Xin,YIN Haipei. Short term prediction of itemized building energy consumption based on AR-DBN [J]. Computer Engineering, 2019, 45(6): 290-296.
[14]	ZHOU Linyong,XIE Xiaoyao,LIU Zhijie,REN Bimo. Research on Pooling Method of Convolution Neural Network [J]. Computer Engineering, 2019, 45(4): 211-216.
[15]	ZHOU Jinfeng,YE Shiren,WANG Hui. Text Sentiment Classification Based on Deep Convolutional Neural Network Model [J]. Computer Engineering, 2019, 45(3): 300-308.

Please choose a citation manager

Content to export