Combined Genetic Algorithms (ga) and back-propagation neural network (BP), an optimized GA-BP model was established to predict phosphorus content. Some data were chosen to train the network model.

结合遗传算法(GA)和误差反馈型神经网络(BP)，建立了优化的GA - BP神经网络预测模型，预测转炉炼钢过程钢液终点磷含量。

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Some common algorithms of adaptive filtering are optimized here, and a linear dispersive channel is studied with them. we can get some ideas for its application to project.

通过优化自适应滤波的几种常用算法，研究了线性弥散信道，并为其工程实现提供了理论依据。

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Based on optimized BP algorithms, some prediction models are developed for cement strength.

运用改进的BP算法，建立了水泥强度预测模型。

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Based on optimized BP algorithms, some prediction models are developed for cement strength.

运用改进的BP算法，建立了水泥强度预测模型。

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