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Application of intelligent technique for development of Colpitts oscillator

机译:智能技术在Colpitts振荡器研制中的应用

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In this paper, new method of Colpitts oscillator designing through combination of Genetic Algorithm and Artificial Neural Network (ANN) has been suggested. The Thevenin's resistors for the common base Colpitts oscillator are optimized through application of GA and ANN. The developed common base Colpitts oscillator has shortest transient time response and stable Direct Curent (DC) stability in the long term operation. Involvement of GA and ANN successfully optimize between transient time response and steady state response of common base oscillator. Application of these two artificial intelligent techniques assist faster selection of optimizes components values such as resistance values during circuit development rather than conventional method which used intuition techniques to develop the circuit.
机译:本文提出了一种结合遗传算法和人工神经网络(ANN)设计Colpitts振荡器的新方法。通过应用GA和ANN优化了通用基本Colpitts振荡器的戴维宁电阻。所开发的通用基本型Colpitts振荡器在长期运行中具有最短的瞬态时间响应和稳定的直流电(DC)稳定性。遗传算法和神经网络的参与成功地在瞬态时间响应和公共基准振荡器的稳态响应之间进行了优化。这两种人工智能技术的应用有助于在电路开发过程中更快地选择最佳组件值,例如电阻值,而不是使用直觉技术来开发电路的传统方法。

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