Patent ID: 9015095
Filing Date: 2015-04-21
Classification: G06N

Abstract:
1. A neural network designing method comprising: a forming procedure causing a computer to form a RNN (Recurrent Neural Network) circuit to include a plurality of oscillating RNN circuits configured to output natural oscillations, and an adding circuit configured to obtain a sum of outputs of the plurality of oscillating RNN circuits; and a computing procedure causing the computer to input discrete data to the plurality of oscillating RNN circuits, in order to compute a fitting curve with respect to the discrete data output from the adding circuit, wherein the computing procedure includes where ψ(x) denotes a trigamma function that is defined by a second derivative of a logarithm of a gamma function, and a where cos (qπt/n) and sin(qπt/n) are oscillating functions output from the plurality of oscillating RNN circuits.