To synthesize the advantages of standard BP algorithm and "batch learning" BP algorithm, a new algorithm is put forword.
综合了标准BP算法与“批处理”BP算法的各自特点，提出了一种新的BP网络的学习算法。
In the training process, the adaptive learning rate and error batch-mode process are introduced to accelerate the training rate.
在神经网络自学习过程中，引入了自适应学习速率和误差批处理法，加快了学习速度。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
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