Author: Sina F. Ardabili; Amir MOSAVI; Pedram Ghamisi; Filip Ferdinand; Annamaria R. Varkonyi-Koczy; Uwe Reuter; Timon Rabczuk; Peter M. Atkinson
Title: COVID-19 Outbreak Prediction with Machine Learning Document date: 2020_4_22
ID: nu0pn2q8_38
Snippet: In ANNs, with the help of programming knowledge, a data structure is designed that can act like a neuron. This data structure is called a node [82, 83] . In this structure, the network between these nodes is trained by applying an educational algorithm to it. In this memory or neural network, the nodes have two active states (on or off) and one inactive state (off or 0), and each edge (synapse or connection between nodes) has a weight. Positive w.....
Document: In ANNs, with the help of programming knowledge, a data structure is designed that can act like a neuron. This data structure is called a node [82, 83] . In this structure, the network between these nodes is trained by applying an educational algorithm to it. In this memory or neural network, the nodes have two active states (on or off) and one inactive state (off or 0), and each edge (synapse or connection between nodes) has a weight. Positive weights stimulate or activate the next inactive node, and negative weights inactivate or inhibit the next connected node (if active) [78, 84] . In the ANN architecture, for the neural cell c, the input bp enters the cell from the previous cell p. wpc is the weight of the input bp with respect to cell c and ac is the sum of the multiplications of the inputs and their weights [85] :
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