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- improved BP learning algorithm 改进BP算法
- The system uses a multilayer neural network architecture trained offline by a backpropagation (BP) learning algorithm. 该方法引入了多层神经网络控制结构,并采用反向传播学习算法(BP)进行离线训练。
- After discussing the BP learning algorithm of ANN, the knowledge base andinference engine are developed by using the BP algorithm in the ES ?s knowledgeacquisition. 文中详细讨论了人工神经网络的BP算法及其应用于专家系统的知识获取、组建系统知识库和推理机的方法;
- RBF(radial basis function) has the advantages of fast learning, not easily getting in the local minimum, so as to more attentions and more applications instead of BP learning algorithm. 径向基函数(radial basis function,简称RBF)神经网络作为人工神经网络的一种,以其牢固的插值理论为基础,并且具有学习速度快、不易陷入局部极小等优点,逐步取代反向传播(back propagation,简称BP)学习算法在模式识别领域中得到越来越广泛的关注和应用。
- Adaptive Tuning for the Learning Step Sizes of the BP Learning Algorithm BP算法学习步长的自适应调整
- It is shown, by derivations and calculations, that the improved BP algorithm can obviously reduce the learning time. 最后,利用实测数据进行验证。结果表明,改进的神经网络算法明显提高网络收敛速度;
- This paper puts forward a diesel engine fault diagnosis method,designs BP networks form that fits the diagnosis system,and presents an improved BP algorithm(IBP),which can adapt learning speed using gold-segmentation. 文中提出了基于ANN的柴油机故障诊断方法,设计了适合该诊断系统的BP网络结构,并给出了一种改进的BP算法(IBP),该算法基于黄金分割法自适应调整网络学习速率。
- Through applying an improved BP(back propagation) algorithm to city consume,a BP model is built. 针对城市消费预测问题;应用一种改进的BP算法;建立了相应的BP网络模型;并设计了基于BP神经网络的城市消费预测系统.
- BP learning algorithm BP学习算法
- The typical BP algorithm and improved BP algorithm are applied to the fault diagnosis of Tennessee Eastman(TE) model. 并分别将典型的BP算法和改进后的BP算法用于TE(Tennessee Eastman)模型的故障诊断中。
- To compensate the disadvantage of the conventional back propagation algorithm(CBPA),an improved learning algorithm,which trained a BP neural network by the genetic algorithm,was developed. 考虑到BP算法的不足,提出用遗传算法来优化BP神经网络的连接权值,设计了基于进化神经网络的学习算法,建立了陶瓷材料电加工表面粗糙度随工艺参数变化的预测模型。
- It states that the improved BP algorithm and the hybrid BP algorithm are adapted well to treating the prototype observation data of a dam. 由此表明,采用改进的BP算法和混合BP算法来处理大坝观测数据是行之有效的。
- Neural networks have been widely used in kinds of research fields. In this paper, faults of CSTR will be detected and diagnosed using an improved BP algorithm. 将BP算法和使用复合法修正初始权值的BP算法运用到CSTR模型中进行故障诊断。
- A improved BP neural network algorithm with the stability of the steepest descent method and the speed performance of the Newton approach method is educed. 导出一种既有最速下降法的稳定性又有牛顿法的快速性的新算法;
- NNM can use many learning algorithm .In this paper , it use the modified BP algorithm which proposed by the author . NNM可以采用许多学习算法,前已提及本文中采用作者提出的改进BP算法。
- In this paper, a novel variant activation (transform) sigmoid function with three parameters is proposed, and then the improved BP algorithm based on it is educed and discussed. 摘要提出了人工神经元的一种新颖的多参数可调激活函数,推导出相应的BP学习算法。
- This paper puts forward a new group chemotaxis algorithm used as the learning algorithm for BP neural networks. 提出了一种新型神经网络群体趋化性算法,将其用于多层前向神经网络的学习过程,表明其具有学习速度快、精度高的特点。
- The system employs a diagnosis method,which combines fuzzy neural networks with improved BP algorithm and can swiftly and accurately determine the location of a condenser fault. 系统采用了模糊神经网络与改进的BP算法相结合的故障诊断方法,能快速地、准确地判断出凝汽器故障所在。
- When we play chess, do we use a learning algorithm or brute force. 当我们玩西洋象棋的时候,我们使用学问运算法则或暴力吗。
- The paper presents the research of learning algorithm of FNN. 摘要对模糊神经网络的学习方法进行了研究。