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
neural networks Associative memory Studentship cerebellum Artificial intelligence olfaction Dendritic computation Purkinje cell Neuronal Morphology Evolutionary algorithms Neuromorphic hardware Persistent homology Open position COVID-19 Network connectivity robotics Deep learning Convolutional Neural Networks Neurons computational neuroscience neuroscience computational modelling Homoeostasis Software development machine learning PCA Computer Science optimization Structural plasticity synaptic plasticity