Component mounting and dispatching optimization method for chip mounter on basis of quantum neural network
A technology of quantum nerves and optimization methods, which is applied to the biological neural network model and the assembly of printed circuits with electrical components, can solve problems such as increased optimization solution time and complex mathematical models for placement scheduling, so as to shorten the placement time and improve The effect of production efficiency
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[0013] The quantum neural network-based placement scheduling optimization method for placement machine components of the present invention will be described in detail below with reference to the accompanying drawings.
[0014] as attached figure 1 , in the quantum neural network-based component placement scheduling optimization method of the present invention, the working principle of component placement is: first, the placement head moves to the position of the component intelligent feeder, and absorbs the component device; then the placement head moves to the position of the first component to complete the placement of component 1, and then moves to the position of the second device to complete the placement of device 2, and repeats the cycle of placement until the PCB on the All components are mounted.
[0015] An optimization method for placement scheduling of placement machine components based on quantum neural network, the specific process is as follows:
[0016] Step ...
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