Sökning: "Multilayer Perceptron Regressor"

Hittade 3 uppsatser innehållade orden Multilayer Perceptron Regressor.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Nikolaos Staikos; [2024]
    Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

  3. 2. Predictive Autoscaling of Systems using Artificial Neural Networks

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Christoffer Lundström; Camilla Heiding; [2021]
    Nyckelord :autoscaling; predictive autoscaling; machine learning; artificial neural networks; multilayer preceptrons; MLP-regressor; time series forecasting;

    Sammanfattning : Autoscalers handle the scaling of instances in a system automatically based on specified thresholds such as CPU utilization. Reactive autoscalers do not take the delay of initiating a new instance into account, which may lead to overutilization. LÄS MER

  4. 3. Digging deep : A data-driven approach to model reduction in a granular bulldozing scenario

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Samuel Ulin; [2018]
    Nyckelord :Machine learning; granular dynamics; deep learning; discrete element method; earthmoving; neural network;

    Sammanfattning : The current simulation method for granular dynamics used by the physics engine AGX Dynamics is a nonsmooth variant of the popular Discrete Element Method (DEM). While powerful, there is a need for close to real time simulations of a higher spatial resolution than currently possible. LÄS MER