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mixed pso-bp algorithm
相关语句
  pso-bp混合算法
     The short-term load forecasting of power system is performed using the mixed PSO-BP algorithm and improved BP algorithm. The simulation results indicate that this mixed PSO-BP algorithm is better than improved BP algorithm.
     运用所建立的PSO-BP混合算法和改进神经网络算法的负荷预测模型进行短期负荷预测,并比较所得结果可知,PSO-BP混合算法明显优于改进神经网络算法。
短句来源
  “mixed pso-bp algorithm”译为未确定词的双语例句
     Practical example shows that the mixed PSO-BP algorithm can effectively and reliably be used to identify gamma spectrum.
     实例表明,混合PSO-BP算法用于γ能谱识别是非常理想的、有效的。
     Application of the Mixed PSO-BP Algorithm and the Rough Set Theory in Electric Power System Short-term Load Forecast
     粒子群—神经网络混合算法及粗糙集理论在电力系统短期负荷预测中的应用
短句来源
     In this paper, a mixed PSO-BP algorithm is formed, which is the combination of PSO and artificial neural network (ANN). Then, a short-term load forecasting model involving various influencing factors is built.
     本文将这种新兴的智能技术与人工神经网络算法相结合,形成粒子群-神经网络(PSO-BP)混合算法,建立计及各种影响因素的短期负荷预测模型。
短句来源
  相似匹配句对
     ⑤mixed.
     ⑤混合型。
短句来源
     and 6. mixed.
     (6)混合型。
短句来源
     Generation expansion planning of hydro-thermal mixed power system based on C-PSO
     基于C-PSO的水火电混合电力系统电源规划
短句来源
     TECHNIQUE OF MIXED-CHARGING FOR B. F.
     高炉矿焦混装技术
短句来源
     Ready-mixed concrete
     广东省预拌混凝土与机械发展调查报告
短句来源
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>=Aiming at the shortcomings that BP algorithm is usually trapped to a local optimum and it has a low speed of convergence in the application of neural network to identify gamma spectrum, according to the advantage of the globe optimal searching of particle swarm optimization, this paper put forward a new algorithm for neural network training by combining BP algorithm and Particle Swarm Optimization-mixed PSO-BP algorithm. In the application to identify gamma spectrum, the new algorithm...

>=Aiming at the shortcomings that BP algorithm is usually trapped to a local optimum and it has a low speed of convergence in the application of neural network to identify gamma spectrum, according to the advantage of the globe optimal searching of particle swarm optimization, this paper put forward a new algorithm for neural network training by combining BP algorithm and Particle Swarm Optimization-mixed PSO-BP algorithm. In the application to identify gamma spectrum, the new algorithm overcomes the shortcoming that BP algorithm is usually trapped to a local optimum and the neural network trained by it has a high ability of generalization with identification result of one hundred percent correct. Practical example shows that the mixed PSO-BP algorithm can effectively and reliably be used to identify gamma spectrum.

在神经网络识别γ能谱的应用中,针对BP算法极易陷入局部极小、收敛速度慢的缺点,根据粒子群优化算法具有全局寻优的特点,本文将PSO与BP算法结合起来形成一种训练神经网络的新算法——混合PSO-BP算法。将该算法应用到γ能谱识别中, 克服了BP算法极易陷入局部极小的缺点,并且训练好的网络具有很好的泛化能力, 识别正确率为100%。实例表明,混合PSO-BP算法用于γ能谱识别是非常理想的、有效的。

 
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