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Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1697-x
● Titanium-based flow-through electrode achieved high Cr(VI) reduction efficiency.
Keywords: Flow-through electrode Hexavalent chromium Heavy metals Neural network Artificial intelligence
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
Keywords: contouring error pre-compensation motion control system back propagation (BP) neural network
A. CHITRA,S. HIMAVATHI
Frontiers in Energy 2015, Volume 9, Issue 1, Pages 22-30 doi: 10.1007/s11708-014-0339-1
Keywords: neural networks back propagation (BP) rotor resistance estimators vector control induction motor
S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG
Frontiers in Energy 2016, Volume 10, Issue 1, Pages 105-113 doi: 10.1007/s11708-016-0393-y
Keywords: day-ahead electricity markets price forecasting load forecasting artificial neural networks load serving
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
Keywords: optimization turbine cold-end system BP neural network genetic algorithm
Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric
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
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 (
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
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
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
Keywords: BP neural network building budget forecast
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
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
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
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
Lingyun YOU, Kezhen YAN, Nengyuan LIU
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2, Pages 487-500 doi: 10.1007/s11709-020-0609-4
Keywords: asphalt pavement interlayer conditions finite element method artificial neural network back-calculation
Qin Wei,Qin Shuyu
Strategic Study of CAE 2007, Volume 9, Issue 1, Pages 49-52
Keywords: neural net BP algorithm correlation encrypt speed transmission graphics data
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
Keywords: constructed wetlands wastewater purification GA-BP network orthogonal test
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
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
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
Keywords: neural networks BP algorithm active function robot manipulator inverse kinematics
Title Author Date Type Operation
hexavalent chromium using a porous titanium flow-through electrode and intelligent prediction based on a backpropagation neural network
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
A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction
A. CHITRA,S. HIMAVATHI
Journal Article
Day-ahead electricity price forecasting using back propagation neural networks and weighted least square
S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG
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
Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric
Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN
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
Assessing artificial neural network performance for predicting interlayer conditions and layer modulus
Lingyun YOU, Kezhen YAN, Nengyuan LIU
Journal Article
The Safe and Quick Long-Distance Transmission MethodBased on BP Neural Net for Engineering Graphics Data
Qin Wei,Qin Shuyu
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
Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting
Chen Shouyu,Guo Yu,Wang Dagang
Journal Article