Patent ID: 11934759
Assignee: SEMICONDUCTOR ENERGY LABORATORY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A parameter search method using a classification model, a neural network, a parameter extraction portion, a circuit simulator, and a control portion, comprising:
a step of providing a data set of a semiconductor element to the parameter extraction portion,
a step of extracting a model parameter of the semiconductor element by the parameter extraction portion,
a step of performing simulation by the circuit simulator using a first netlist and the model parameter and outputting a first output result,
a step of learning the first output result by the classification model, classifying the model parameter, and outputting a first model parameter,
a step of providing a second netlist and a second model parameter from the control portion to the circuit simulator,
a step of supplying a first model parameter variable included in the second model parameter from the control portion to the neural network,
a step of calculating a first action value function Q from the first model parameter variable by the neural network,
a step of updating the first model parameter variable to a second model parameter variable by the control portion using the first action value function Q and outputting a third model parameter,
a step of performing simulation by the circuit simulator using the second netlist and the third model parameter and outputting a second output result,
a step of judging the second output result by the control portion using a convergence condition given to the second netlist, and
a step of setting a reward by the control portion when the second output result is judged not to satisfy required characteristics of the second netlist and updating a weight coefficient of the neural network using the reward,
wherein when the second output result is judged to satisfy the required characteristics of the second netlist, the first model parameter variable is judged to be the best candidate for the second netlist.