Singular Spectrum Analysis (SSA) can be used for smoothing time series and extracting the trend and oscillatory components. In this talk, Yi will introduce the basic idea of SSA and explain how it works by giving a simple example.
Date: 23/03/2018
Time: 16:00
Location: LB252
Associative memory olfaction Deep learning Artificial intelligence Studentship Neurons Evolutionary algorithms PCA cerebellum Neuronal Morphology Purkinje cell Software development computational neuroscience Convolutional Neural Networks Structural plasticity Persistent homology Neuromorphic hardware Computer Science optimization Homoeostasis robotics Dendritic computation computational modelling neural networks machine learning neuroscience synaptic plasticity Network connectivity COVID-19 Open position