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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: Based on plenty of reliable experimental data, genetic neural network was first tentatively utilizedOptimized GA-BP network was established to simulate orthogonal test of wetland system.

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

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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    

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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 BPneural network and its precision was considerable high.

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

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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: To solve this problem, this paper adopts the model of the back-propagation neural network, takes thefeatures of construction as input variables, trains the network using actual data as samples and optimizesthe network structure by contribution analysis.

Keywords： BP neural network     building budget     forecast    

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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:

A nonlinear combination forecasting model was established by using neural network and acceleratingAGA 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    

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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:

Seeing on that in BPNN the small learning gene will make the long training time, but the large learning gene will make the BPNN surging, this paper brings forward a way to modify the learning gene, that is, adding a proportion gene before the learning gene, The proportion gene will change when the weight of the BPNN needs to be modified. This can shorten the training time and make convergence better as well. The simulating results show that the new algorithm is much better than the old one during BPNN scouting the missile command.

Keywords： BPNN     improved algorithm     simulation    

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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 geneticthese 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 BPneural network to train link-weights, and finally, uses gained link-weight values to verify forecasting

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

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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: paper, an algorithm in which active function is improved is proposed through analyzing the conventional BPnetworks are used to establish the inverse kinematics models for robot manipulator by this improved BPand improves the inverse kinematics solutions for robot manipulator as compared to the conventional BP

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

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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    

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Evaluation of slope stability based on GA-ANFIS

Lin Xianzhi,Xue Tao,Yu Peng,Chen Qing

Strategic Study of CAE 2011, Volume 13, Issue 3,   Pages 77-81

Abstract: the interpretability of fuzzy reasoning and the ability of adaptability and self-learning of neural networkIt was shown that the results of GA-ANFIS model are consistent with field condition, which makes it be

Keywords： GA-ANFIS model     evaluation index     uncertainty     slope stability evaluation    

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Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 322-334 doi: 10.1007/s11708-015-0362-x

Abstract: grid-connected PV source by using an adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm (GAThe data are optimized by GA and then, these optimum values are used in network training.The simulation results indicate that the ANFIS-GA controller can meet the need of load easily with less

Keywords： photovoltaic system     maximum power point (MPP)     adaptive neuro-fuzzy inference system (ANFIS)     genetic algorithm (GA    

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Advances in Cost-Efficient Thin-Film Photovoltaics Based on Cu(In,Ga)Se2

Michael Powalla, Stefan Paetel, Dimitrios Hariskos, Roland Wuerz, Friedrich Kessler, Peter Lechner, Wiltraud Wischmann, Theresa Magorian Friedlmeier

Engineering 2017, Volume 3, Issue 4,   Pages 445-451 doi: 10.1016/J.ENG.2017.04.015

Abstract: p>In this article, we discuss the leading thin-film photovoltaic (PV) technology based on the Cu(In,Ga

Keywords： Thin-film photovoltaics     Solar energy     Flexible     Cu(InGa)Se2    

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A pre-compensation method of the systematic contouring error for repetitive command paths

D. L. ZHANG,Y. H. CHEN,Y. P. CHEN

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 367-372 doi: 10.1007/s11465-015-0367-5

Abstract: pre-compensation value with better accuracy, this paper proposes the use of a back propagation neural network

Keywords： contouring error     pre-compensation     motion control system     back propagation (BP) neural network    

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Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 474-485 doi: 10.1631/FITEE.1400295

Abstract: Accurate blood pressure (BP) measurement is essential in epidemiological studies, screening programmesand research studies as well as in clinical practice for the early detection and prevention of high BP-relatedPosture of the participant plays a vital role in accurate measurement of BP.Guidelines on measurement of BP contain recommendations on the position of the back of the participantsprincipal component analysis (PCA) is fused with forward stepwise regression (SWR), artificial neural network

Keywords： Blood pressure (BP)     Principal component analysis (PCA)     Forward stepwise regression     Artificial neuralnetwork (ANN)     Adaptive neuro-fuzzy inference system (ANFIS)     Least squares support vector machine (    

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Research and Application for Practice in the Limestone Quarry Based on Genetic Algorithms-adaptive Network-based

Yang Shijiao,Dai Jianyong,Zeng Sheng

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 61-65

Abstract: a raw material quarry of cement, the paper set up technical and economic system model with adaptive network-based

Keywords： adaptive network-based fuzzy inference system     parallel genetic algorithms     technical and economic parameter    

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Title Author Date Type Operation

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

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

Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG

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

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

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

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article

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

Wu Aiguo,Hao Runsheng

Journal Article

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

Qin Wei,Qin Shuyu

Journal Article

Evaluation of slope stability based on GA-ANFIS

Lin Xianzhi,Xue Tao,Yu Peng,Chen Qing

Journal Article

Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Journal Article

Advances in Cost-Efficient Thin-Film Photovoltaics Based on Cu(In,Ga)Se2

Michael Powalla, Stefan Paetel, Dimitrios Hariskos, Roland Wuerz, Friedrich Kessler, Peter Lechner, Wiltraud Wischmann, Theresa Magorian Friedlmeier

Journal Article

A pre-compensation method of the systematic contouring error for repetitive command paths

D. L. ZHANG,Y. H. CHEN,Y. P. CHEN

Journal Article

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Journal Article

Research and Application for Practice in the Limestone Quarry Based on Genetic Algorithms-adaptive Network-based

Yang Shijiao,Dai Jianyong,Zeng Sheng

Journal Article