Search Results - (( variable interaction model algorithm ) OR ( variable estimation using algorithm ))

Search alternatives:

Refine Results
  1. 1
    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.]

    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.] by Ismail, Razidah, Ahmad, Tahir, Harish, Noor Ainy, A. Halim, Rosenah

    Published 2011
    “…The main feature of the model is the development of the Fuzzy State Space Algorithm (FSSA) for determination of input parameters that can be applied to any multivariable dynamic system. …”
    Get full text
    Get full text
    Research Reports
    Save to List
    Saved in:
  2. 2
    A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling

    A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling by Purnomo, Muhammad Ridwan Andi, Abdul Wahab, Dzuraidah, Hassan, Azmi, Rahmat, Riza Atiq

    Published 2009
    “…This paper presents the application of Parallel Genetic Algorithm (PGA)-based Takagi Sugeno Kang (TSK)-Fuzzy approach for dynamic car-following modeling in the traffic simulation software. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Determination of tree stem volume : A case study of Cinnamomum

    Determination of tree stem volume : A case study of Cinnamomum by Noraini Abdullah

    Published 2013
    “…The significant factors and their relationships are identified through a modelling approach. A modeling approach is developed which focuses on the phases in the model-building procedures, effects of interactions variables on the model, minimizing the effects of multicollinearity on the variables and recommending remedial techniques to overcome them, identification of the significant variables by removing insignificant variables, selecting the best model using the eight selection criteria (8SCs), and finally using the residual analysis to validate the chosen best model. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Short-term electricity price forecasting in deregulated electricity market based on enhanced artificial intelligence techniques / Alireza Pourdaryaei

    Short-term electricity price forecasting in deregulated electricity market based on enhanced artificial intelligence techniques / Alireza Pourdaryaei by Alireza , Pourdaryaei

    Published 2020
    “…The proposed feature selection technique comprises of Multi-objective Binary-valued Backtracking Search Algorithm (MOBBSA). It is used to search within a number of input variables combinations and to select the feature subsets, which minimizes simultaneously vice-versa the estimation error and the feature numbers. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Analysis and Optimization of Ultrasound-Assisted Alkaline Palm Oil Transesterification by RSM and ANN-GA

    Analysis and Optimization of Ultrasound-Assisted Alkaline Palm Oil Transesterification by RSM and ANN-GA by Sajjadi, B., Davoody, M., Abdul Raman, Abdul Aziz, Ibrahim, Shaliza

    Published 2017
    “…The obtained results were then predicted by an optimized artificial neural network-genetic algorithm (ANN-GA) algorithm. The estimated results were compared with the experimental results. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Analysis of daytime and nighttime ground level ozone concentrations using boosted regression tree technique

    Analysis of daytime and nighttime ground level ozone concentrations using boosted regression tree technique by Yahaya, Noor Zaitun, Ghazali, Nurul Adyani, Ahmad, Sabri, Mohammad Asri, Mohammad Akmal, Ibrahim, Zul Fahdli, Ramli, Nor Azman

    Published 2017
    “…The ozone BRT algorithm model was constructed from multiple regression models, and the ‘best iteration’ of BRT model was performed by optimizing prediction performance. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease

    Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease by Assis Kamu

    Published 2016
    “…Therefore, this empirical study was conducted to build a mathematical model which can be used for yield loss estimation due to the disease. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Modelling the yield loss of oil palm due to ganoderma basal stem rot disease

    Modelling the yield loss of oil palm due to ganoderma basal stem rot disease by Assis bin Kamu

    Published 2016
    “…Therefore, this empirical study was conducted to build a mathematical model which can be used for yield loss estimation due to the disease. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS

    SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS by Vu, Trieu Minh, Fakhruldin, Bin Mohd Hashim

    Published 2010
    “…Stochastic hybrid model-based control refers to controlling uncertain systems, which are modeled as a multiple-model set with a varying variable structure and the use of interacting multiple model (IMM) estimator and generalized predictive control (GPC) algorithm as described in [1]. …”
    Get full text
    Get full text
    Get full text
    Citation Index Journal
    Save to List
    Saved in:
  10. 10
    Soft Switching System Based on Weighted Probabilities for Stochastic Hybrid Multiple Model-based Control Systems

    Soft Switching System Based on Weighted Probabilities for Stochastic Hybrid Multiple Model-based Control Systems by Vu, Trieu Minh, Fakhruldin, Bin Mohd Hashim

    Published 2010
    “…Stochastic hybrid model-based control refers to controlling uncertain systems, which are modeled as a multiple-model set with a varying variable structure and the use of interacting multiple model (IMM) estimator and generalized predictive control (GPC) algorithm as described in [1]. …”
    Get full text
    Get full text
    Get full text
    Citation Index Journal
    Save to List
    Saved in:
  11. 11
    A new estimation of nonlinear contact forces of railway vehicle

    A new estimation of nonlinear contact forces of railway vehicle by Khakoo Mal, Imtiaz Hussain Kalwar, Khurram Shaikh, Tayab Din Memon, Bhawani Shankar Chowdhry, Kashif Nisar, Manoj Gupta

    Published 2021
    “…The purpose of this paper is to develop a model-based estimation technique using the Extended Kalman Filter (EKF) with inertial sensors to estimate non-linear wheelset dynamics in variable adhesion conditions. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.]

    All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.] by Chiau Ming, Long, Karuppannan, Mahmathi, Abdul Wahab, Izyan, Abd Wahab, Mohd Shahezwan, Zulkifly, Hanis Hanum

    Published 2014
    “…Values obtained from this algorithm are used in peer reviews to verify the validity of reporter’s conclusion regarding ADRs. …”
    Get full text
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  13. 13
    Identification of debris flow initiation zones using topographic model and airborne laser scanning data

    Identification of debris flow initiation zones using topographic model and airborne laser scanning data by Lay, Usman Salihu, Pradhan, Biswajeet

    Published 2017
    “…Conditioning parameters were numerically optimized to identify the arbitrarily maximum model basis function for eleven variables, using MARSplines analysis (algorithm). …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  14. 14
    Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption

    Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption by Zamani, Seyed Ali

    Published 2015
    “…The incremental back propagation algorithm demonstrated the best results and which has been used as learning algorithm for ANN in combination with Genetic Algorithm in the optimization. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis

    Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis by Adnani, Seyedeh Atena

    Published 2011
    “…In this system,similar insolvent system, three methods including one variable at a time, Taguchi method and ANN were used for optimization and prediction of percentage of conversion. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Grid-based remotely sensed hydrodynamic surface runoff model using emissivity coefficient / Jurina Jaafar

    Grid-based remotely sensed hydrodynamic surface runoff model using emissivity coefficient / Jurina Jaafar by Jaafar, Jurina

    Published 2015
    “…The results from the model are promising and it is limited by its ability to model all the variables then are involved in the development of surface model. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property

    Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property by Jahanshiri, Ebrahim

    Published 2013
    “…Furthermore, various spatial, temporal and spatio-temporal neighbourhood and weighting schemes, optimization algorithms and lag and error modelling scenarios were created and tested with the data. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Evolutionary approach for combinatorial testing of software product lines

    Evolutionary approach for combinatorial testing of software product lines by Sahid, Mohd Zanes

    Published 2020
    “…The approaches are (1) adopting an Estimation of Distribution Algorithm approach to aid the construction of a covering array driven by second order feature dependence, and (2) construct a feature configuration dependence graph to assist in building the variable-strength covering array. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network

    Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network by Mohamad Afiq, Mohd Asrul

    Published 2023
    “…Model validity describes the first sub-objective, which is to solve the complexity of the nonlinear interaction of multiple MEC input variables related to the hydrogen production rate response using artificial neural networks (ANN) before validating the mathematical modeling results by comparing experimental data with the predicted substrate concentration profile and hydrogen production rate profile based on the re-estimated input values of the model parameters using single-objective optimization based on the nonlinear convex method using gradient descent algorithm. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique

    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique by Hardev Singh, Jitvinder Dev Singh

    Published 2015
    “…The fixed block matching uses the same block size throughout the motion estimation process while the variable block matching uses different block size. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: