Resource Type

Journal Article 338

Conference Videos 1

Year

2023 20

2022 19

2021 24

2020 15

2019 21

2018 14

2017 22

2016 16

2015 19

2014 20

2013 12

2012 12

2011 6

2010 8

2009 10

2008 17

2007 21

2006 20

2005 9

2004 8

open ︾

Keywords

genetic algorithm 33

algorithm 14

optimization 14

BP neural network 4

Genetic algorithm 4

neural network 4

artificial neural network 3

meta-heuristic algorithm 3

Algorithm 2

BP algorithm 2

FEM 2

HY-2 2

Support vector machine (SVM) 2

artificial bee colony algorithm 2

cogeneration 2

different 2

economic dispatch (ED) 2

generation 2

heuristic 2

open ︾

Search scope:

排序： Display mode:

An Improved BP Algorithm Applying to Inverse Kinematics Problems of Robot Manipulator

Wu Aiguo,Hao Runsheng

Strategic Study of CAE 2005, Volume 7, Issue 7,   Pages 34-38

Abstract: conventional BP algorithm, and different learning rates are used to increase the learning speed in eachnetworks are used to establish the inverse kinematics models for robot manipulator by this improved BPalgorithm.and improves the inverse kinematics solutions for robot manipulator as compared to the conventional BPalgorithm.

Keywords： neural networks     BP algorithm     active function     robot manipulator     inverse kinematics    

HTML PDF Collect

Optimization of turbine cold-end system based on BP neural network and genetic algorithm

Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 459-463 doi: 10.1007/s11708-014-0335-5

Abstract: ultra-supercritical (USC) unit, the turbine cold-end system, was performed utilizing the back propagation (BP) neural network method with genetic algorithm (GA) optimization analysis.

Keywords： optimization     turbine     cold-end system     BP neural network     genetic algorithm    

HTML PDF Collect

The Safe and Quick Long-Distance Transmission MethodBased on BP Neural Net for Engineering Graphics Data

Qin Wei,Qin Shuyu

Strategic Study of CAE 2007, Volume 9, Issue 1,   Pages 49-52

Abstract: is built and data code compression and data encryption are put in practice at the same time by using BPalgorithm of artificial neural network.Examples show that this method can be used in actual engineering

Keywords： neural net     BP algorithm     correlation     encrypt     speed transmission     graphics data    

HTML PDF Collect

Research on Nonlinear Combination Forecasting Approach Based on BP-AGA

Wang Shuo,Zhang Youfu,Jin Juliang

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 83-87

Abstract: nonlinear combination forecasting model was established by using neural network and accelerating genetic algorithmAGA was used to optimize the network parameters as BP approach was slow with training network.Optimization results of AGA were taken as original values of BP approach, the network was trained withBP approach.Network convergence rate was increased with running BP approach and AGA alternately.

Keywords： neural network     accelerating genetic algorithm     nonlinear combination forecasting     forecasting precision    

HTML PDF Collect

An Improving Method of BP Neural Network and Its Application

Li Honggang,Lü Hui,Li Gang

Strategic Study of CAE 2005, Volume 7, Issue 5,   Pages 63-65

Abstract: The simulating results show that the new algorithm is much better than the old one during BPNN scouting

Keywords： BPNN     improved algorithm     simulation    

HTML PDF Collect

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 22-30 doi: 10.1007/s11708-014-0339-1

Abstract: In this paper, a novel modified neural algorithm has been identified for the online estimation of rotorThe training algorithm of the neural network determines its learning speed, stability, weight convergenceThe proposed learning algorithm is found to exhibit good estimation and tracking capabilities.

Keywords： neural networks     back propagation (BP)     rotor resistance estimators     vector control     induction motor    

HTML PDF Collect

Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 30-35

Abstract:

Intelligent calculating tools such as fuzzy optimization approaches, BP neural network and geneticalgorithm are proven to be efficient when applied individually to a variety of problems.these approaches, and then, in this paper, the author organically synthesizes fuzzy optimal selection, BPneural network and genetic algorithm and establishes intelligent forecasting mode and method.the correlation of forecasting factors and forecasting objective, then takes the matrix as input of BP

Keywords： fuzzy optimal selection     BP neural network     genetic algorithm     intelligent forecasting mode     mid and long    

HTML PDF Collect

Study on the Purification of Wastewater in the Constructed Wetland Based on GA－BP Network

Huang Juan,Wang Shihe,Luo Weiguo,Qian Weiyi ,Yan Lu

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 79-83

Abstract: Optimized GA-BP network was established to simulate orthogonal test of wetland system.

Keywords： constructed wetlands     wastewater purification     GA-BP network     orthogonal test    

HTML PDF Collect

Research on the Forecast of the BP Neural Network Based on the Orthogonal Test

Cai Anhui,Liu Yonggang,Sun Guoxiong

Strategic Study of CAE 2003, Volume 5, Issue 7,   Pages 67-71

Abstract:

The strategy for forecasting the BP neural network was researched on the basis of the training-studyingwhose factors were the same as that of the self-contained orthogonal sample could be forecast in the BP

Keywords： BP neural network     orthogonal test     strategy     design-test approach     sample collection    

HTML PDF Collect

Study of Forecast of Building Cost Based on Neural Network

Nie Guihua,Liu Pingfeng,He Liu

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 56-59

Abstract:

In the constantly changing marketing economy, it has become an urgent task for construction industry to find a rapid, simple and practical way to organize construction project budget. To solve this problem, this paper adopts the model of the back-propagation neural network, takes the features of construction as input variables, trains the network using actual data as samples and optimizes the network structure by contribution analysis. It shows the validity of the model in the forecast of construction project budget.

Keywords： BP neural network     building budget     forecast    

HTML PDF Collect

Hydrogeological Parameter Identification Based on the Radial Basis Function Neural Networks

Zhang Junyan,Wei Lianwei,Han Weixiu,Shao Jingli,Cui Yali,Zhang Jianli

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 74-78

Abstract:

The problem of hydrogeological parameter identification is actually a complex one. With the limit of identifying the parameter by traditional methods, the radial basis function neural networks (RBF) is applied into this area. Not only the parameter identification is automatically realized, but also th.e problem of local optimization is solved. The feasibility and effectiveness have been proved by the examples.

Keywords： groundwater     hydrogeological parameter     radial basis function (RBF) neural networks     BP neural networks    

HTML PDF Collect

Impact of oxygen enriched combustion on the performance of a single cylinder diesel engine

K. RAJKUMAR, P. GOVINDARAJAN

Frontiers in Energy 2011, Volume 5, Issue 4,   Pages 398-403 doi: 10.1007/s11708-011-0157-7

Abstract: above said engine for different loads and the following performance characteristics like brake power (BP

Keywords： oxygen enriched combustion     exhaust gas temperature     brake power (BP)     specific fuel consumption (SFC)    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

Title Author Date Type Operation

An Improved BP Algorithm Applying to Inverse Kinematics Problems of Robot Manipulator

Wu Aiguo,Hao Runsheng

Journal Article

Optimization of turbine cold-end system based on BP neural network and genetic algorithm

Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG

Journal Article

The Safe and Quick Long-Distance Transmission MethodBased on BP Neural Net for Engineering Graphics Data

Qin Wei,Qin Shuyu

Journal Article

Research on Nonlinear Combination Forecasting Approach Based on BP-AGA

Wang Shuo,Zhang Youfu,Jin Juliang

Journal Article

An Improving Method of BP Neural Network and Its Application

Li Honggang,Lü Hui,Li Gang

Journal Article

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Journal Article

Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article

Study on the Purification of Wastewater in the Constructed Wetland Based on GA－BP Network

Huang Juan,Wang Shihe,Luo Weiguo,Qian Weiyi ,Yan Lu

Journal Article

Research on the Forecast of the BP Neural Network Based on the Orthogonal Test

Cai Anhui,Liu Yonggang,Sun Guoxiong

Journal Article

Study of Forecast of Building Cost Based on Neural Network

Nie Guihua,Liu Pingfeng,He Liu

Journal Article

Hydrogeological Parameter Identification Based on the Radial Basis Function Neural Networks

Zhang Junyan,Wei Lianwei,Han Weixiu,Shao Jingli,Cui Yali,Zhang Jianli

Journal Article

Impact of oxygen enriched combustion on the performance of a single cylinder diesel engine

K. RAJKUMAR, P. GOVINDARAJAN

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