This free podcast describes the concepts of self-interest and competition in a market economy, and their importance as the invisible hand that guides the economy. Branches:
Radial basis function network. In the field of mathematical modeling, a radial basis function network is an artificial neural network that uses radial basis functions as activation functions. The output of the network is a linear combination of radial basis functions of the inputs and neuron parameters. Radial basis function networks have many uses, including function approximation, time series prediction, classification, and system control.
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