Artificial Neutral Networks 人工神经网络
bp neutral networks bp神经网络
fuzzy neutral networks 模糊神经网络
neutral networks control 神经网络控制
back propagation neutral networks 反向传播神经网络
unearthed or compensated neutral networks 中性点非直接接地系统
networks with ungrounded neutral 中性点不接地系统
neutral-type cellular neural networks 中立型细胞神经网络
neutral-type Hopfield neural networks 中立型Hopfield神经网络
Through the introduction of compensatory fuzzy inference and quick arithmetic, the property of compensatory fuzzy neural networks is superior to that of common fuzzy neutral networks.
通过补偿模糊推理和快速学习算法的引入，使得补偿模糊神经网络在性能上优于一般的模糊神经网络。
参考来源 - 模糊神经网络在锅炉控制中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
BP neutral networks model has been established in order to predict process parameter of shear spinning based on many data accumulated during manufacturing.
以生产数据为学习样本，建立BP神经网络模型，实现对剪切旋压工艺参数的预测。
Through the introduction of compensatory fuzzy inference and quick arithmetic, the property of compensatory fuzzy neural networks is superior to that of common fuzzy neutral networks.
通过补偿模糊推理和快速学习算法的引入，使得补偿模糊神经网络在性能上优于一般的模糊神经网络。
Using neutral networks, the relationship between engine flight conditions, states and the parameters of controller are fitted, and the controller characteristics in full flight envelope are verified.
利用神经网络拟合发动机飞行条件、状态与控制器参数之间的关系，验证了控制器在全飞行包线内的性能。
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