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- 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
- BP learning algorithm BP学习算法
- improved BP learning algorithm 改进BP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。
- 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。
- A new hybrid learning algorithm NHLA, which combines the variant IBP of algorithm BP and the random optimization algorithm presented by Dr Solis and Wets, is presented. 首先提出变形的BP算法IBP,然后将它与Solis和Wets的随机优化算法相结合,提出了新型混合学习算法NHLA。
- The trained weights consist of cubic spline functions, not constants like the popular learning algorithm such as backpropagation (BP) or radial basis function (RBF) networks. 通过求解两组线性方程组,就可以确定具体三次样条权函数形式。
- DFNN is constructed by adding a recurrent layer between the normalized layer and output layer of ANFIS, and backpropogation learning algorithm (BP) is given to DFNN. 通过在ANFIS的归一化层和输出层之间加入递归层,构成了动态模糊神经网络(DFNN),并推导了基于BP的反传学习算法。
- 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。
- 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。
- BVM(Ball Vector Machine)is a faster machine learning algorithm than SVM. 球向量机是一种比SVM更快的机器学习方法。
- The model and learning algorithms of BP(Error Back Propagation)network,which is widely applied,is recommended,and RBF(Radial B asis Function)is simply recommended contrastively. 本文首先介绍了神经网络中应用最为成熟广泛的BP网络的模型及其学习算法 ,并简单对比介绍了RBF网络。
- CONJUGATE GRADIENT ALGORITHM SUITABLE FOR BP LEARNING 适合于BP学习的共轭梯度法
- Observational Learning Algorithm (OLA) is an ensemble method based on social learning theory. 观察学习是一种基于社会学习理论的集成学习方法,以往对其研究集中于同构模式。
- The future research direction of SVM learning algorithms were proposed. 最后指出了学习算法的研究方向。