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检索条件"主题词=BackPropagation Algorithm"
286 条 记 录,以下是171-180 订阅
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Stochastic modeling applications for the prediction of COD removal efficiency of UASB reactors treating diluted real cotton textile wastewater
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STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2009年 第1期23卷 13-26页
作者: Yetilmezsoy, Kaan Sapci-Zengin, Zehra Yildiz Tech Univ Fac Civil Engn Dept Environm Engn TR-34349 Istanbul Turkey
A three-layer Artificial Neural Network (ANN) model (9:12:1) for the prediction of Chemical Oxygen Demand Removal Efficiency (CODRE) of Upflow Anaerobic Sludge Blanket (UASB) reactors treating real cotton textile wast... 详细信息
来源: 评论
ARTIFICIAL NEURAL NETWORKS LEARNING IN ROC SPACE
ARTIFICIAL NEURAL NETWORKS LEARNING IN ROC SPACE
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1st International Joint Conference on Computational Intelligence
作者: Castro, Cristiano Leite Braga, Antonio Padua Univ Fed Lavras Dept Comp Sci Campus UnivCaixa Postal 3037 BR-37200000 Lavras Brazil Univ Fed Minas Gerais Dept Elect Engn BR-30161970 Belo Horizonte MG Brazil
In order to control the trade-off between sensitivity and specificity of MLP binary classifiers, we extended the backpropagation algorithm, in batch mode, to incorporate different misclassification costs via separatio... 详细信息
来源: 评论
Using Particle Swarm Optimization in Training Neural Network for Indoor Field Strength Prediction
Using Particle Swarm Optimization in Training Neural Network...
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51st International Symposium ELMAR
作者: Vilovic, Ivan Burum, Niksa Milic, Dorde Univ Dubrovnik Dubrovnik Croatia
This paper presents a comparison of results obtained from neural network training by backpropagation and particle swarm optimization (PSO) algorithms. The neural network model has been developed for field strength pre... 详细信息
来源: 评论
Testing Artificial Metaplasticity in MLP Applications
Testing Artificial Metaplasticity in MLP Applications
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IEEE International Conference on Systems, Man and Cybernetics
作者: Andina, Diego Marcano-Cedeno, Alexis Torres, Joaquin Alarcon, Martin J. Tech Univ Madrid UPM Grp Automat Signals & Commun Madrid Spain
In this work we tested and compared Artificial Metaplasticity (AMP) results for Multilayer Perceptrons (MLPs). AMP is a novel Artificial Neural Network (ANN) training algorithm inspired on the biological metaplasticit... 详细信息
来源: 评论
Neural Network Approach to the Prediction of Percentage Data Packet Loss for Wireless Sensor Networks
Neural Network Approach to the Prediction of Percentage Data...
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41st Southeastern Symposium on System Theory
作者: Barve, Yogesh D. Tennessee Technol Univ Dept Elect & Comp Engn Cookeville TN 38505 USA
Wireless sensor networks are used in the field of communications and have gained enormous popularity in recent times. Depending upon the environment in which the wireless sensor network operates, the amount of noise l... 详细信息
来源: 评论
Prediction of stress in fillet portion of spur gears using artificial neural networks
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AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING 2008年 第1期22卷 41-51页
作者: Shunmugam, M. S. Prasad, N. Siva Indian Inst Technol Dept Mech Engn Madras 600036 Tamil Nadu India
A fillet curve is provided at the root of the spur gear tooth, as stresses are high in this portion. The fillet curve may be a trochoid or an arc of suitable size as specified by designer. The fillet stress is influen... 详细信息
来源: 评论
Hierarchical Takagi-Sugeno type fuzzy system for diabetes mellitus forecasting
Hierarchical Takagi-Sugeno type fuzzy system for diabetes me...
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7th International Conference on Machine Learning and Cybernetics
作者: Sharifi, Arash Vosolipour, Asiyeh Sh, Mahdi Aliyari Teshnehlab, Mohammad Islamic Azad Univ Sci & Res Branch Dept Comp Tehran Iran KN Toosi Univ Technol Elect Engn Dept Tehran Iran
In this study, a new group method of data handling (GMDH) method, based on adaptive neurofuzzy inference system (ANFIS) structure, called ANFIS-GMDH and its application for diabetes mellitus forecasting is presented. ... 详细信息
来源: 评论
Nonlinear system identification using discrete-time neural networks with stable learning algorithm
Nonlinear system identification using discrete-time neural n...
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5th International Conference on Informatics in Control, Automation and Robotics
作者: Korkobi, Talel Djemel, Mohamed Chtourou, Mohamed XYZ Univ Inst Problem Solving Natl Engn Sch Sfax ENIS BP W Sfax 3038 Tunisia ENIS Natl Engn Sch Sfax Design & Optimizat Complex Syst Sfax 3038 Tunisia
This paper presents a stable neural sytem identification for nonlinear systems. An input output discrete time representation is considered. No a priori knowledge about the nonlinearities of the system is assumed. The ... 详细信息
来源: 评论
Stability Analysis of Neural Networks-Based System Identification
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MODELLING AND SIMULATION IN ENGINEERING 2008年 第unknown期2008卷
作者: Korkobi, Talel Djemel, Mohamed Chtourou, Andmohamed Univ Sfax Natl Engn Sch Sfax ENIS Res Unit Intelligent Control Design & Optimizat Complex Syst ICOS BP W Sfax 3038 Tunisia
This paper treats some problems related to nonlinear systems identification. A stability analysis neural network model for identifying nonlinear dynamic systems is presented. A constrained adaptive stable backpropagat... 详细信息
来源: 评论
HIERARCHICAL TAKAGI-SUGENO TYPE FUZZY SYSTEM FOR DIABETES MELLITUS FORECASTING
HIERARCHICAL TAKAGI-SUGENO TYPE FUZZY SYSTEM FOR DIABETES ME...
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2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
作者: ARASH SHARIFI MAHDI ALIYARI SH MOHAMMAD TESHNEHLAB ASIYEH VOSOLIPOUR Computer department of Islamic Azad University Science and Research Branch Tehran Iran Electrical Engineering department of K.N.Toosi University of Technology Tehran Iran
In this study, a new group method of data handling (GMDH) method, based on adaptive neurofuzzy inference system (ANF1S) structure, called ANFIS-GMDH and its application for diabetes mellitus forecasting is presented. ... 详细信息
来源: 评论