Selected article for: "network output and neural network"

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_40
    Snippet: Similarly, wcn is the weight of the bcn which is the output of c to n. W is the collection of all the weights of the neural network in a set. For input x and output y, hw(x) is the output of the neural network. The main goal is to learn these weights for reducing the error values between y and hw(x). That is, the goal is to minimize the cost function Q(W), Eq. 21 [85] :.....
    Document: Similarly, wcn is the weight of the bcn which is the output of c to n. W is the collection of all the weights of the neural network in a set. For input x and output y, hw(x) is the output of the neural network. The main goal is to learn these weights for reducing the error values between y and hw(x). That is, the goal is to minimize the cost function Q(W), Eq. 21 [85] :

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