Processing apparatus and inference system

A parameter controlling method adopted in an inference system including a recurrent neural network circuit that receives M input signals and outputs N intermediate signals, M being an integer of 2 or more, N being an integer of 2 or more, and including an inference neural network circuit that receives the N intermediate signals and outputs L output signals, L being an integer of 2 or more, the method comprising:

• adjusting a plurality of coefficients set to the inference neural network circuit according to a delay time period from timing for applying the M input signals or from timing for applying the N intermediate signals until timing for firing the L output signals.

A parameter controlling method adopted in an inference system including a recurrent neural network circuit that receives M input signals and outputs N intermediate signals, M being an integer of 2 or more, N being an integer of 2 or more, and an inference neural network circuit that receives the N intermediate signals and outputs L output signals, L being an integer of 2 or more, the method comprising:

• adjusting a plurality of coefficients set to the recurrent neural network circuit according to a delay time period from timing for applying the M input signals until timing for firing the L output signals.

A parameter controlling method adopted in a recurrent neural network circuit that receives M first signals and outputs N second signals, M being an integer of 2 or more, N being an integer of 2 or more, the method comprising:

• adjusting a plurality of coefficients that are set to the recurrent neural network circuit according to a first delay time period from timing for applying the M first signals until timing for firing the N second signals.