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On the optimal design of CMOS operational amplifier, it is very difficult to improve the circuitpsilas performance by manual design. So a quantum-behaved particle swarm optimization algorithm (QPSO) based on the swarm intelligent technology is presented to get the global optimal solution. This algorithm is mainly to optimize the position of the particle instead of solve the circuit performance analytic...
This paper proposes a organic hybrid model of the genetic algorithm and the particle swarm algorithm firstly, then establishes the multi-factor time series forecasting model, designs the BP neural networks, adopts the organic hybrid model of genetic algorithm and particle swarm algorithm to optimize the weight from the input layer to the hidden layer, the weight from the hidden layer to the output...
The micro-genetic algorithm (MGA) optimization combined with the finite-difference time-domain (FDTD) method is applied to design a band-notched ultra wide-band (UWB) antenna in this article. A U-type slot on a stepped U-type UWB monopole is used to obtain the band-notched characteristic for 5 GHz WLAN band. The measured VSWR less than 2 covers the operating band of 3.1-10.6 GHz and VSWR more than...
Power demand forecast is the basis for making power development plan. Through analyzing the factors, which affect power demand, one model for forecasting power demand has been established, and its data are standardized firstly. Then by designing the structure of BP neural networks and applying the improved genetic algorithm, the network structure and weights of neural networks for power demand are...
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