Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Room Occupancy Classification Using Multilayer Perceptron

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • بيانات النشر:
      Surya Hijau Manfaat Publisher
    • الموضوع:
      2021
    • Collection:
      neliti (Indonesia's Think Tank Database)
    • نبذة مختصرة :
      A room that should be comfortable for humans can create a sense of absence and appear diseases and other health problems. These rooms can be from boarding rooms, hotels, office rooms, even hospital rooms. Room occupancy prediction is expected to help humans in choosing the right room. Occupancy prediction has been evaluted with various statistical classification models such as Linier Discriminat Analysis LDA, Classification And Regresion Trees (CART), and Random Forest (RF). This study proposed learning approach to classification of room occupancy with multi layer perceptron (MLP). The result shows that a proper MLP tuning paramaters was able estimate the occupancy with 88.2% of accuracy
    • File Description:
      application/pdf
    • Relation:
      https://www.neliti.com/publications/432569/room-occupancy-classification-using-multilayer-perceptron
    • الدخول الالكتروني :
      https://www.neliti.com/publications/432569/room-occupancy-classification-using-multilayer-perceptron
    • Rights:
      (c) Journal of Soft Computing Exploration, 2021
    • الرقم المعرف:
      edsbas.C607D672