Search Results - (( developing forecasting trends algorithm ) OR ( java implication force algorithm ))

Refine Results
  1. 1

    Market prices trend forecasting supported by Elliott Wave's theory by Vantuch, T., Zelinka, I., Vasant, P.

    Published 2017
    “…The trend prediction is supported by application of recognized Elliot waves which was performed by custom developed algorithm based on available knowledge about the patterns. …”
    Get full text
    Get full text
    Article
  2. 2

    Multi-horizon ternary time series forecasting by Htike@Muhammad Yusof, Zaw Zaw

    Published 2013
    “…This is mainly because state-of-the-art forecasting algorithms essentially perform single-horizon forecasts and produce continuous numbers as outputs. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  3. 3

    The forecasting of poverty using the ensemble learning classification methods by Zamzuri, Muhammad Haziq Adli, Nadilah, Sofian, Hassan, Raini

    Published 2023
    “…The results of the algorithms showed the poverty trend, which helped to determine the poverty classification. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy by Qing, Zhang, Abdullah, Abdul Rashid, Choo, Wei Chong, Ali, Mass Hareeza

    Published 2022
    “…This stochastic learning method is a useful addition to the existing methods for determining the center and smoothing factors of radial basis function neural networks, and it can also help the network more efficiently train. GDP forecasting is aided by the genetic algorithm radial basis neural network, which allows the government to make timely and effective macrocontrol plans based on the forecast trend of GDP in the region. …”
    Get full text
    Get full text
    Article
  5. 5
  6. 6
  7. 7

    Dynamic forecasting model for short series age-specific mortality / Wan Zakiyatussariroh Wan Husin by Wan Husin, Wan Zakiyatussariroh

    Published 2017
    “…The third objective is to develop the LC model within a state space framework (LC-SS model) as a common factor model with single and multiple common trends for forecasting Malaysia age-specific mortality. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Sales Prediction Using Artificial Neural Network by Ilham Ariff, Mohammad Fadzli

    Published 2023
    “…In this research, an Artificial Neural Network (ANN) model was developed for the sales prediction. This research proposed the use of ANN for forecasting sales as an alternative to conventional forecasting techniques. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  9. 9
  10. 10

    Optimal short term load forecasting using LSSVM and improved BFOA considering Malaysia pandemic disrupted situation by Zaini, Farah Anishah

    Published 2024
    “…Due to that reason, in this study, the hybrid forecasting model based on the Least Square Support Vector Machine (LSSVM) and Improved Bacterial Foraging Optimization Algorithm (IBFOA) is developed to perform an accurate STLF and applied to load in Peninsular Malaysia during the pandemic disrupted situation. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12
  13. 13

    A review on deep learning approaches to forecasting the changes of sea level by Nosius Luaran, Rayner Alfred, Joe Henry Obit, Chin Kim On

    Published 2021
    “…The present paper aims to review several Deep Learning (DL) algorithms that address critical issues of forecasting, specifically a time variable known as time series by managing complex patterns and inefficiently capturing long-term multivariate data dependency. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  14. 14

    Short-term forecasting of daily confirmed COVID-19 cases in Malaysia using RF-SSA model by Shaharudin, Shazlyn Milleana, Ismail, Shuhaida, Hassan, Noor Artika, Tan, Mou Leong, Sulaiman, Nurul Ainina Filza

    Published 2021
    “…The advantage of using this forecasting model is it would discriminate noise in a time series trend and produce significant forecasting results. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    The Jordan Pi-Sigma neural network for temperature prediction by Husaini, Noor Aida

    Published 2012
    “…The use of PSNN itself for temperature forecasting is preferably utilisable just yet. Notwithstanding, this study disposed towards an idea to develop a new network model called a Jordan Pi-Sigma Neural Network (JPSN) to overcome the drawbacks of ordinary NN, whilst taking the advantages of PSNN. …”
    Get full text
    Get full text
    Thesis
  16. 16
  17. 17
  18. 18

    Application of Univariate Model and Box- Jenkin Techniques in forecasting stock price of Dutch Lady Milk Industries / Alia Nurain Mohd Bahari, Atikah Nurfarahana Rusahizam and Fara... by Mohd Bahari, Alia Nurain, Rusahizam, Atikah Nurfarahana, Hanizaam, Farah Athirah

    “…Therefore, if an effective algorithm could be developed to predict the short-term price of a single stock, there would be more opportunities to invest and launch a business in the stock market. …”
    Get full text
    Get full text
    Student Project
  19. 19
  20. 20