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检索条件"主题词=BP algorithm"

共 416 条记录，以下是31-40 订阅

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Handling Class Imbalance Problems via Weighted bp algorithm

Handling Class Imbalance Problems via Weighted BP Algorithm

引用

5th International Conference on Advanced Data Mining and Applications

作者： Wang, Xiaoqin Zhang, Huaxiang Shandong Normal Univ Coll Informat Sci & Engn Jinan 250014 Shandong Peoples R China

ISBN: (纸本)9783642033476

When using Neural Networks (NN) to handle class imbalance problems, there exists a fact that minority class makes less contribution to the error function than the majority class, so the network learned prefers to recognizing majority class data which we pay less attention to. This paper proposes a novel algorithm WNN (Weighted NN) to solve this problem using a newly defined error function in bp (bp) algorithm. Experimental results executed on 20 UCI datasets show that the approach can effectively enhance the recognition rate of minority class data.

关键词： Imbalance dataset Neural Network bp algorithm weight

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Application of Wavelet Packets and GA-bp algorithm in Fault Diagnosis for Diesel Valve Gap Abnormal Fault

Application of Wavelet Packets and GA-BP algorithm in Fault ...

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2nd IEEE International Conference on Advanced Computer Control

作者： Cai, Yanping Li, Aihua He, Yanping Wang, Tao Zhao, Jinru Xian High Tech Inst Xian 710025 Peoples R China

ISBN: (纸本)9781424458479

Analysing vibration signal is an effective important method for diesel engine fault diagnosis, and its key techniques are feature extraction and pattern recognition. In this paper, wavelet packet decomposition algorithm as an effective method for fault feature extraction is used to decompose the vibration signals, and its percentage of energy band wavelet packet and wavelet packet energy spectrum entropy are regarded as diagnostic feature vectors. At the same time, in the process of pattern recognition, a mixed neural network training algorithm GA-bp algorithm was used to recognize the fault pattern in fault diagnosis of valve gap abnormal fault. This method can effectively and reliably be used in the fault diagnosis of valve gap abnormal fault by comparing the two algorithms and analyzing the results of real examples. This method can also effectively be used in other fields.

关键词： Wavelet package Spectrum entropy Neural Network bp algorithm Genetic algorithm Fault diagnosis Diesel

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The Application of bp algorithm of NN for the Temperature Identification of Shaft Furnace

The Application of BP Algorithm of NN for the Temperature Id...

引用

2nd IEEE International Conference on Advanced Computer Control

作者： Lou, Guohuan Wang, Xiaoyan Wang, Jianmin Zhao, Wei Hebei Polytech Univ Coll Comp & Automat Control Tangshan Peoples R China

ISBN: (纸本)9781424458479

This The pellet sintering process is a physical chemistry process, which is pure time-delay and non-linear with more variables and discrete parameters. In order to solve this problem, a new bp algorithm of NN for the temperature identification of sintering shaft furnace is introduced in this paper. bp network is combined with PID control and simulation effects are given with MATLAB. The experiment results show this method can make the temperature of firebox conform the requirement of the control standard and can also improve the output and quality of the products.

关键词： Neural Networks (NN) bp algorithm MATLAB firebox

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An Improved bp algorithm Based on steepness factor and adaptive learning rate adjustment factor

An Improved BP Algorithm Based on steepness factor and adapt...

引用

2nd International Conference on Frontiers of Manufacturing and Design Science (ICFMD 2011)

作者： Zhang, Xiuhua Ren, Fujun Jiang, Yongcheng Harbin Univ Sci & Technol Coll Mech & Engn Harbin Peoples R China Jiamusi Univ Coll Mech Engn Jiamusi Peoples R China

ISBN: (纸本)9783037852828

bp network is the most widely used of the neural net work model, but there are many problems of slow convergence speed and easily getting into the local minimum in the conventional bp algorithm. For this, an improved algorithm is proposed. Momentum term is added, steepness factors are introduced and adaptive learning rate adjustment factor is added. In the Matlab platform simulations are carried out by each improvement methods on the same bp neural network. The results show that: Convergence of improved bp network is decreased from 1000 to 49 and the error is decreased from 10(-2) to 10(-6). The convergence speed has been significantly improved and the error has been decreased. Using the synthesis improvement method effect is obvious and it provides a good theoretical basis for the practical application.

关键词： bp algorithm momentum steepness factor adaptive learning rate

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Techniques and Applications of Electrical Equipment Image Processing Based on Improved MLP Network Using bp algorithm 8

Techniques and Applications of Electrical Equipment Image Pr...

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8th IEEE International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia)

作者： Weng, Dongbo Chen, Rongbao Li, Yang Zhao, Dan Huainan Power Supply Co State Grid Huainan Peoples R China Hefei Univ Technol Sch Elect Engn & Automat Hefei Peoples R China

ISBN: (纸本)9781509012107

This paper proposed a new method combining infrared and visible image, which is devoted to monitor the electrical equipment. The key technologies of infrared and visible image processing include two aspects. On the one hand, it researches on targeting localization based on visible image. We can get the horizontal and vertical adjustments of the refitted cradle head camera through the coordinates of the electrical equipment in the image by means of the strong ability for bp algorithm fitting nonlinear function;on the other hand, the infrared image is processed by qualitative method based on the temperature difference The improved MLP network eliminated the harmful effect of the size of the partial derivative on the weight step. The network received some features as the inputs and classified the conditions of equipment into two categories which are defective and normal. Experimental results show that the positioning error is less than 5 pixels and the classification accuracy rate reaches 84.21%, which means that the method not only improves the measurement efficiency of the infrared detection technology, which is not affected by the limitation of measurement environment.

关键词： artificial neural network MLP bp algorithm infrared image processing substation inspection

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The Reinforcement Rib Performance Prediction Based on the bp algorithm and the Finite Element Analysis

The Reinforcement Rib Performance Prediction Based on the BP...

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2nd International Conference on Engineering Design and Optimization (ICEDO 2011)

作者： Su, Liangyao Li, XiangSheng Yin, Xiongfei Feng, Xiaoyan Ruan, ShangWen Zhejiang Sci Tech Univ Hangzhou 310018 Zhejiang Peoples R China Hangzhou Wahaha Grp Hangzhou 311215 Zhejiang Peoples R China

ISBN: (纸本)9783037852590

The reinforcement rib design is one of the key parts in entire bottle design. This paper presents the rib performance prediction system based on the bp algorithm and the finite element analysis, which adopts the finite element analysis results as its learning samples, sets up the rib performance prediction system with bp artificial neural network. The results show that the artificial neural network plays an important role in rib performance prediction;meanwhile it can guide the bottle design in practical terms.

关键词： bp algorithm Finite analysis Reinforcement rib artificial neural network

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Application of Improved RPROP Method and bp algorithm in Music Signal Spectrum Visualization

Application of Improved RPROP Method and BP Algorithm in Mus...

引用

2023 International Conference on Evolutionary algorithms and Soft Computing Techniques, EASCT 2023

作者： Zeng, Dajun Jiangxi Science and Technology Normal University School of Music Nanchang China

ISBN: (纸本)9798350313413

Music signal spectrum visualization is of great significance in music processing and music information retrieval. In this study, the application effect of the improved RPROP method and bp algorithm in music signal spectrum visualization is discussed, and the performance of the two algorithms is compared. Through the training and evaluation of the music signal dataset, the experimental results show that the improved RPROP method has an accuracy of 0.92, which is better than the bp algorithm's 0.85, and has a lower loss value (0.051 vs 0.078). In addition, the improved RPROP method exhibits faster convergence (2.63s/epoch vs 3.97s/epoch) and shorter training times (16.3s vs 27.8s). This shows that the improved RPROP method has better performance and efficiency in music signal spectrum visualization, which has important practical significance for related applications. © 2023 IEEE.

关键词： bp algorithm improving RPROP method musical signals spectrum visualization

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Application of Improved bp algorithm in Vehicle License Plate Recognition

Application of Improved BP Algorithm in Vehicle License Plat...

引用

1st IITA International Joint Conference on Artificial Intelligence

作者： Xu, Yuemei Zhang, Hong China Univ Min & Technol Sch Comp Sci & Technol Xuzhou Peoples R China

ISBN: (纸本)9780769536156

First, the background, significance and general implementation of vehicle license plate recognition (VLPR) are introduced. Based on analyzing the theory of neural network pattern recognition system, toward the limitation of standard bp, this thesis offers its improved method and a real recognition example. Finally, conclusion on its characteristic is given. The improved bp algorithm had some advantages in reaching high error precision, fast convergence speed, short recognition time and high recognition rate.

关键词： neural network vehicle license plate recognition bp algorithm pattern recognition

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Neural Network Prediction of CFG Pile Composite Foundation Bearing Capacity based on bp algorithm

Neural Network Prediction of CFG Pile Composite Foundation B...

引用

2024 Asian Conference on Intelligent Technologies, ACOIT 2024

作者： Caifeng, Jia Baicheng Vocational and Technical College Jilin Province 137000 China

ISBN: (纸本)9798350374933

In the rapid development of neural network prediction today, the use of big data algorithm means to improve the CFG pile composite foundation bearing capacity has become a trend, in order to be more adaptive to today's development, so that the CFG pile composite foundation bearing capacity to improve the neural network prediction comes along. In the neural network prediction, it is very important to collect and analyses the CFG pile composite foundation bearing capacity. Data mining algorithms cannot accurately collect and analyse the accuracy problem in neural network prediction. As a result, this paper proposes a bp algorithm for data collection and analysis. Firstly, the indicators are divided according to the data collection requirements to reduce the interference factors in data collection. Then, the bp algorithm for neural network prediction data collection results, the formation of the data collection scheme, and the comprehensive analysis of the data collection results. MATLAB simulation shows that in the case of a certain evaluation standard, the bp algorithm for neural network prediction of the data collection accuracy, data collection reliability is better than the data mining algorithm. © 2024 IEEE.

关键词： bp algorithm CFG pile composite foundation bearing capacity data mining algorithm neural network prediction neural network prediction data collection

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A bp algorithm for Intelligent Improvement of User Experience Interaction Design

A BP Algorithm for Intelligent Improvement of User Experienc...

引用

2024 International Conference on Interactive Intelligent Systems and Techniques, IIST 2024

作者： Wang, Yingqi Kookmin University Seoul Special City02858 Korea Republic of

ISBN: (纸本)9798350374421

Ux interaction design, which originated at the intersection of computer science and cognitive psychology, aims to optimize the interaction between humans and machines to provide a more intuitive and satisfying experience. In today' s society, interaction design has the problem of cumbersome algorithm and low efficiency, which has a great impact on user experience. bp algorithm is an effective neural network algorithm, which can improve interaction design. This paper uses bp algorithm to improve user experience interaction design. Finally, through the experiment, the algorithm greatly reduces the complexity of user experience interaction design, simplifies the algorithm, improves the efficiency, the accuracy rate is up to 98.4%, and finally improves the satisfaction of user experience. bp algorithm and user experience interaction design will be widely used in the future. © 2024 IEEE.

关键词： bp algorithm improvement interaction design neural networks user experience

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