Description: 基于梯度下降的BP算法,可以调整学习率可动量因子.-based on the gradient descent algorithm BP, the learning rate can be adjusted momentum factor. Platform: |
Size: 3050 |
Author:李四 |
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Description: L-M算法。除了动量法(基于梯度下降的训练算法)外，学习率自适应调整策略是BP算法改进的另一种途径，它利用Levenberg-Marquardt优化方法，从而使得学习时间更短。其缺点是，对于复杂的问题，该方法需要很大的存储空间。 -L-M algorithm. In addition to momentum (based on the gradient descent algorithm for training), learning rate adaptive strategy is to improve the algorithm BP Another approach, which uses Levenberg-Marquardt optimization method, which makes learning time is even shorter. Its weakness is that the complex problems that the method requires a lot of storage space. Platform: |
Size: 1024 |
Author:辜小花 |
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Description: 基于梯度下降的BP算法,可以调整学习率可动量因子.-based on the gradient descent algorithm BP, the learning rate can be adjusted momentum factor. Platform: |
Size: 3072 |
Author:李四 |
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Description: 神经网络BP算法，具有可设的层数，按梯度下降的学习规则。-BP neural network algorithm, has an established low-rise, according to gradient descent learning rules. Platform: |
Size: 143360 |
Author:刘佳 |
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Description: 讨论了BP 小波神经网络在训练过程中减小误差函数时最优方向的确定和自适应调整学习率的方法。
首先论证了小波神经网络的数学基础,然后讨论了BP 小波神经网络的学习过程,重点讨论了减小误差函数最优方
向的确定方法,即如何保证步长方向与负梯度方向一致,由此得出了自适应调整学习率的简便方法。该方法具有
普遍性,有广泛的应用价值。仿真结果表明,采用最优梯度下降方向可以大幅度提高BP 小波神经网络的学习速
度。-Discussed BP wavelet neural network in the training process of reducing the error function to determine the optimal direction and adaptive learning rate adjustment method. First of all, demonstrated that the wavelet neural network mathematical basis, and then discussed the BP wavelet neural network learning process focused on reducing the error function to determine the optimal direction of approach, namely how to ensure that the direction of step with the negative gradient direction, which may out the adaptive learning rate adjustment easy way. The method is universal, has a wide range of application value. Simulation results show that the optimal direction of gradient descent can dramatically improve BP wavelet neural network learning speed. Platform: |
Size: 245760 |
Author:guole |
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Description: 文章提出了一种基于视觉模型的图像边缘检测算法作者采用具有反馈和前项控制连接的侧抑制模型进行图像信息进行处理, 用零阶和二阶厄米特函数的组合产生系统的控制模板, 组合系数通过梯度下降学习算法确定这种以生物视觉感知机理为基础的神经计算方法-This paper puts forward a kind of image edge detection based on visual model algorithm author with feedback and the control connections of the lateral inhibition model for image information processing, with zero order and two order Hermite function are combined to generate the control template, combination coefficients by gradient descent learning algorithm to determine the biological visual perception mechanism based on neural computing method Platform: |
Size: 297984 |
Author:rambolyb |
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Description: 梯度下降法是一个最优化算法，常用于机器学习和人工智能当中用来递归性地逼近最小偏差模型-The gradient descent method is an optimization algorithm used in machine learning and artificial intelligence to recursive approximation of the minimum deviation model
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Size: 319488 |
Author:xlm |
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Description: coursera上的机器学习课程中的练习题源代码，这是练习一，实现了梯度下降算法，供学习者参考-Machine learning courses coursera exercises on the source code, which is a practice to achieve a gradient descent algorithm for learner reference Platform: |
Size: 503808 |
Author:岳洋 |
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Description: 基于TensorFlow的mnist数据集识别，使用CNN的方法，采用梯度下降学习(MNIST data set recognition based on TensorFlow, using CNN method, using gradient descent learning) Platform: |
Size: 12288 |
Author:嘻嘻嘻哈哈
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Description: 建立BP神经网络， 12个隐层神经元，4个输出神经元
tranferFcn属性 'logsig' 隐层采用Sigmoid传输函数
tranferFcn属性 'logsig' 输出层采用Sigmoid传输函数
trainFcn属性 'traingdx' 自适应调整学习速率附加动量因子梯度下降反向传播算法训练函数
learn属性 'learngdm' 附加动量因子的梯度下降学习函数(The BP neural network is established, with 12 hidden layer neurons, and 4 output neurons
The tranferFcn property'logsig'hidden layer uses the Sigmoid transfer function
The tranferFcn property'logsig'output layer uses the Sigmoid transport function
TrainFcn property'traingdx'adaptively adjusts learning rate, additional momentum factor, gradient descent, back propagation algorithm, training function
The learn property'learngdm'is a gradient descent learning function with additional momentum factors) Platform: |
Size: 1024 |
Author:7123
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