Sökning: "temporal activity diffusion"

Hittade 2 uppsatser innehållade orden temporal activity diffusion.

  1. 1. Variability of summer CH4 and CO2 flux rates in and between three large Swedish lakes : A spatio-temporal field study

    Kandidat-uppsats, Linköpings universitet/Tema Miljöförändring

    Författare :Isak Nilsson; Filip Seifarth; [2020]
    Nyckelord :Large lakes; Freshwater; Flux chambers; Emissions; Ebullition; Diffusion; Carbon cycle; Carbon budget; Methane budget; Greenhouse gases; GHGs; Methane; CH4; Carbon dioxide; CO2; Variability; Spatial; Temporal; Stora sjöar; sötvatten; flödeskammare; utsläpp; bubblor; diffusion; kolcykel; kolbudget; metanbudget; växthusgaser; metan; CH4; koldioxid; CO2; variabilitet; rumslig; tidsmässig;

    Sammanfattning : Understanding of natural greenhouse gas (GHG) cycles is crucial for making GHG budgets, which work as basis in climate change and global warming policy programs. Lakes as a source for GHG activity have only recently been included in global GHG budgets, and most studies of lake GHG flux rates are conducted on lakes <10 km2, which only comprise roughly half of the global lake area—making data of large lake flux rates scarce. LÄS MER

  3. 2. Adding temporal plasticity to a self-organizing incremental neural network using temporal activity diffusion

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Emil Lundberg; [2015]
    Nyckelord :ANN; artificial neural network; SOINN; SOTPAR; SOTPAR2; prediction; spatio-temporal pattern detection; temporal activity diffusion; pattern recognition; unsupervised learning; vector quantization; ANN; artificiellt neuralt nätverk; artificiella neurala nätverk; SOINN; SOTPAR; SOTPAR2; förutsägelse; spatio-temporal mönsterdetekion; temporal aktivitetsdiffusion; mönsterigenkänning; oövervakad inlärning; vektorkvantisering;

    Sammanfattning : Vector Quantization (VQ) is a classic optimization problem and a simple approach to pattern recognition. Applications include lossy data compression, clustering and speech and speaker recognition. LÄS MER