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The modified Adaboost algorithm for Chinese handwritten character recognitionThe modified Adaboost algorithm

Ding Xiaoqing,Fu Qiang

Strategic Study of CAE 2009, Volume 11, Issue 10,   Pages 19-24

Abstract:

The proposed modified Adaboost algorithm adopts the descriptive modelApplying the algorithm to Chinese handwritten character recognition on HCL2000 and THOCR-HCD databases

Keywords： multiclass Adaboost algorithm     Chinese handwritten character recognition     generalized confidence     modified    

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Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: differences between AS relationships under the structural and attribute features, and the reasons why multiclass

Keywords： autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

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A fast face detection algorithm using enhanced AdaBoostbased on walsh features

Guo Zhibo,Yang Jingyu,Liu Huajun,Yan Yunyang

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 125-131

Abstract:

A fast face detection algorithm using enhanced AdaBoost based on WalshThen, an enhanced double threshold AdaBoost algorithm is developed, where double threshold makes training

Keywords： Walsh features     enhanced AdaBoost     cascaded detector     face detection    

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Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 930-939 doi: 10.1631/FITEE.1500125

Abstract: Head pose estimation has been considered an important and challenging task in computer vision. In this paper we propose a novel method to estimate head pose based on a deep convolutional neural network (DCNN) for 2D face images. We design an effective and simple method to roughly crop the face from the input image, maintaining the individual-relative facial features ratio. The method can be used in various poses. Then two convolutional neural networks are set up to train the head pose classifier and then compared with each other. The simpler one has six layers. It performs well on seven yaw poses but is somewhat unsatisfactory when mixed in two pitch poses. The other has eight layers and more pixels in input layers. It has better performance on more poses and more training samples. Before training the network, two reasonable strategies including shift and zoom are executed to prepare training samples. Finally, feature extraction filters are optimized together with the weight of the classification component through training, to minimize the classification error. Our method has been evaluated on the CAS-PEAL-R1, CMU PIE, and CUBIC FacePix databases. It has better performance than state-of-the-art methods for head pose estimation.

Keywords： Head pose estimation     Deep convolutional neural network     Multiclass classification    

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One-against-all-based Hellinger distance decision tree for multiclass imbalanced learning Research Articles

Minggang DONG, Ming LIU, Chao JING,jingchao@glut.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 2,   Pages 278-290 doi: 10.1631/FITEE.2000417

Abstract: machine learning methods are sensitive to skewed distribution and do not consider the characteristics in multiclassimbalance problems, the skewed distribution of multiclass data poses a major challenge to machine learningintegrated into the process of computing the in OAHD, thereby extending the decision tree to cope with the multiclassSecond, for the multiclass imbalance problem, the distribution and the number of distinct classes areimproves the performance compared with the five other well-known in terms of Precision, F-measure, and multiclass

Keywords： Decision trees     Multiclass imbalanced learning     Node splitting criterion     Hellinger distance     One-against-all    

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Optimization and its realization of anneal-genetic algorithm

Wang Ying

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 57-59

Abstract:

A method that uses annealing algorithm to improve the inefficient localsearch of genetic algorithm is proposed.The algorithm optimization is more rapidly in precision after annealing algorithm integration with thegenetic algorithm.By examples of cement ratio works, compared with results of the simple algorithm, it is effectively.

Keywords： genetic algorithm     simulated annealing algorithm     genetic algorithm improvement    

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: A multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedExperimental results demonstrated that the number of target images could be determined by the algorithm

Keywords： clustering     different     recognition algorithm     Algorithm     multiobjective    

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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization (HBO) algorithm

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm     hyperband optimization algorithm    

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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: For this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithm

Keywords： design optimization     genetic algorithm     multiple populations     neural network    

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Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 94-98

Abstract: The particle swarm optimization algorithm combining with the idea of the genetic algorithm is recommendedEspecially the hybrid particle swarm optimization algorithm derived from across strategy A and mutationstrategy C is a simple yet effective algorithm and it has been applied successfully to investment problemIt can easily be modified for any combinatorial problem for which there has been no good specialized algorithm

Keywords： particle swarm algorithm     knapsack problem     genetic algorithm     mutation    

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Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 353-355 doi: 10.1007/s11465-010-0098-6

Abstract: platform, this paper presents an improved grey prediction proportional integral derivative (PID) control algorithmDifferent weights at different time are given to different sampling moments in the algorithm, and theSimulation results show that the performance of response and stability of the platform of the improved algorithmThe control algorithm meets all requirements of the control system of the special-purpose three-axis

Keywords： grey prediction     proportional integral derivative (PID) control     improved algorithm     weight     servo platform    

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Predictor-corrector algorithm for solving quasi-separated-flow and transient distributed-parameter model

Ping ZHANG, Guoliang DING

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 535-541 doi: 10.1007/s11708-010-0113-y

Abstract: Therefore, a predictor-corrector algorithm (PCA) is proposed to improve the convergence of the SS method

Keywords： algorithm     convergence     heat exchanger     modeling     transient    

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Implementation of an optimum algorithm for structural reliability analysis based on FEM

CHENG Ying, TU Hong-mao, FAN Hong-li

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4,   Pages 468-471 doi: 10.1007/s11465-006-0061-8

Abstract: element) method rapidly and efficiently, a method combined with the FE method and gradient optimum algorithm

Keywords： satisfactory     interpretation     algorithm     structural reliability     stochastic FE    

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A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system usingenergy filter algorithm

Aeidapu MAHESH, Kanwarjit Singh SANDHU

Frontiers in Energy 2020, Volume 14, Issue 1,   Pages 139-151 doi: 10.1007/s11708-017-0484-4

Abstract: In this paper, the genetic algorithm (GA) is applied to optimize a grid connected solar photovoltaic(PV)-wind-battery hybrid system using a novel energy filter algorithm.A novel energy filter algorithm for smoothing the power injected into the grid has been proposed.The results of the case study for different cases, with and without employing the energy filter algorithm

Keywords： PV-wind-battery hybrid system     size optimization     genetic algorithm    

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Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme

Frontiers of Structural and Civil Engineering   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: The results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm    

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Title Author Date Type Operation

The modified Adaboost algorithm for Chinese handwritten character recognitionThe modified Adaboost algorithm

Ding Xiaoqing,Fu Qiang

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

A fast face detection algorithm using enhanced AdaBoostbased on walsh features

Guo Zhibo,Yang Jingyu,Liu Huajun,Yan Yunyang

Journal Article

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Journal Article

One-against-all-based Hellinger distance decision tree for multiclass imbalanced learning

Minggang DONG, Ming LIU, Chao JING,jingchao@glut.edu.cn

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Journal Article

Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Journal Article

Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

Journal Article

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Journal Article

Predictor-corrector algorithm for solving quasi-separated-flow and transient distributed-parameter model

Ping ZHANG, Guoliang DING

Journal Article

Implementation of an optimum algorithm for structural reliability analysis based on FEM

CHENG Ying, TU Hong-mao, FAN Hong-li

Journal Article

A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system usingenergy filter algorithm

Aeidapu MAHESH, Kanwarjit Singh SANDHU

Journal Article

Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme

Journal Article