Search Results - (( intelligence system lms algorithm ) OR ( intelligence based training algorithm ))

Search alternatives:

Refine Results
  1. 1
    Model rangkaian neural bagi penentuan gaya pembelajaran pelajar berasaskan model Felder-Silverman

    Model rangkaian neural bagi penentuan gaya pembelajaran pelajar berasaskan model Felder-Silverman by Mohd Faisal Ibrahim, Fatimah Az Zahra Azizan, Mohd Saiful Dzulkefly Zan

    Published 2022
    “…Artificial intelligence models are built based on neural network algorithms and the supervised machine learning technique. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm

    Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm by Mehrkanoon, S., Moghavvemi, M., Fariborzi, H.

    Published 2007
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  3. 3
    A novel quantum calculus-based complex least mean square algorithm (q-CLMS)

    A novel quantum calculus-based complex least mean square algorithm (q-CLMS) by Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M.

    Published 2022
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    A novel quantum calculus-based complex least mean square algorithm (q-CLMS)

    A novel quantum calculus-based complex least mean square algorithm (q-CLMS) by Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M.

    Published 2022
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    A novel quantum calculus-based complex least mean square algorithm (q-CLMS)

    A novel quantum calculus-based complex least mean square algorithm (q-CLMS) by Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M.

    Published 2023
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems

    Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems by Bibi Amirah Shafaa, Emambocus

    Published 2024
    “…The ANNs trained by the optimized DA also achieve higher accuracy than those trained by some other swarm intelligence algorithms. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Multidimensional Minimization Training Algorithms for Steam Boiler Drum Level Trip Using Artificial Intelligence Monitoring System

    Multidimensional Minimization Training Algorithms for Steam Boiler Drum Level Trip Using Artificial Intelligence Monitoring System by Ismail, F. B., Al-Kayiem, Hussain H.

    Published 2010
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Hybrid Intelligent Warning System for Boiler tube Leak Trips

    Hybrid Intelligent Warning System for Boiler tube Leak Trips by Singh D., Ismail F.B., Shakir Nasif M.

    Published 2023
    Conference Paper
    Save to List
    Saved in:
  9. 9
    Integration of dual intelligent algorithms in shunt active power filter

    Integration of dual intelligent algorithms in shunt active power filter by Abdul Rahman, Nor Farahaida, Mohd Radzi, Mohd Amran, Mariun, Norman, Che Soh, Azura, Abd Rahim, Nasrudin

    Published 2013
    “…This paper presents an integration of dual intelligent algorithms: artificial neural network (ANN) based fundamental component extraction algorithm and fuzzy logic based DC-link voltage self-charging algorithm (fuzzy self-charging algorithm), in a three-phase three-wire shunt active power filter (SAPF). …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  10. 10
    Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks

    Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks by Islam, B., Baharudin, Z., Nallagownden, P.

    Published 2015
    “…The efficacy of these models depends upon many factors such as, neural network architecture, type of training algorithm, input training and testing data set and initial values of synaptic weights. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process

    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…The design network is trained by presenting several target machining data that the network must learn according to a learning rule (algorithm). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Optimising neural network training efficiency through spectral parameter-based multiple adaptive learning rates

    Optimising neural network training efficiency through spectral parameter-based multiple adaptive learning rates by Yeong, Lin Koay, Hong, Seng Sim, Yong, Kheng Goh, Sing, Yee Chua, Wah, June Leong

    Published 2024
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  13. 13
    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption by Chiroma, H., Abdullahi, U.A., Hashem, I.A.T., Saadi, Y., Al-Dabbagh, R.D., Ahmad, M.M., Dada, G.E., Danjuma, S., Maitama, J.Z., Abubakar, A., Abdulhamid, S.�M.

    Published 2019
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Analyzing CT images for detecting lung cancer by applying the computational intelligence-based optimization techniques

    Analyzing CT images for detecting lung cancer by applying the computational intelligence-based optimization techniques by Pethuraj, Mohamed Shakeel, Mohd Aboobaider, Burhanuddin, Salahuddin, Lizawati

    Published 2022
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob

    Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob by Mahabob, Noratikah Zawani

    Published 2022
    “…The training and validation of the ANN was based on optimization of its training parameters and guided by the convergence of the mean squared errors (MSE). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Hybrid Intelligent Warning System for Boiler tube Leak Trips

    Hybrid Intelligent Warning System for Boiler tube Leak Trips by Singh, D., Ismail, F.B., Shakir Nasif, M.

    Published 2017
    “…The first intelligent warning system (IWS-1) represents the use of pure artificial neural network system whereas the second intelligent warning system (IWS-2) represents merging of genetic algorithms and artificial neural networks as a hybrid intelligent system. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Embedded Artificial Intelligent (AI) To Navigate Cart Follower

    Embedded Artificial Intelligent (AI) To Navigate Cart Follower by Tang, Khai Luen

    Published 2018
    “…The weights and biases generated through the training process is depended on the training algorithm, initial weights and biases for training and the dataset used in the process. …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  18. 18
    A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models

    A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

    Published 2017
    “…The results show that the neural network optimized with genetic algorithm and trained with an optimally and intelligently selected input vector containing historical load and meteorological variables produced the best prediction accuracy. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Back Propagation Algorithm-Based Intelligent Model for Botnet Detection

    Back Propagation Algorithm-Based Intelligent Model for Botnet Detection by Nik Quosthoni, Sunaidi, Ahmed, Abdulghani Ali

    Published 2018
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Designing and Developing an Intelligent Congkak

    Designing and Developing an Intelligent Congkak by Muhammad Safwan, Mohd Shahidan

    Published 2011
    “…This issues can solved by programming the Congkak system based on previous work on Mancala and NN system, and then recording the performance of the related algorithm. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: