搜索资源列表
The-BP-neural-network-simulation
- BP神经网络MATLAB仿真——源程序以及说明文档-The BP neural network simulation, MATLAB source code and documentation
The-BP-neural-network-example
- 几个BP神经网络的程序,可以对数据进行分类。改变参数可以输入不同的矩阵数据。-Several BP neural network program, the data can be classified. Changing parameters can enter a different matrix data.
BP-neural-network
- 这是一个BP神经网络的代码,我已经对它进行了详细备注,如果将来用,直接拷到控制台里面就行,可以直接运行。-This is a BP neural network source,I have explained it,so you can use it directly.
BP-neural-network-matlab-achieve
- BP神经网络算法matlab实现,准确的实现了BP神经网络-This is a source code that made the BP neural network come ture.
BP-neural-network-with-examples.
- BP神经网络详解与实例 BP算法,PPT详细讲解。-BP neural network Detailed instance BP algorithm, PPT explain in detail.
BP-neural-network
- BP神经网络 是基于matlab上面的。 只需要自己修改参数就可以运用。-BP neural network
BP-neural-network-
- BP神经网络的非线性系统建模-非线性函数拟合-BP neural network nonlinear system modeling- nonlinear function fitting
The-bp-neural-network
- BP神经网络,详细的C语言BP神经网络源代码-The bp neural network
MATLAB-BP-neural-network
- 基于matlab的BP神经网络应用Based on MATLAB BP neural network applications-Based on MATLAB BP neural network applications
BP-neural-network
- BP神经网络,函数逼近,简单易懂。适合初学者学习。-It is a program for BP neural network.It is easy to learn.
BP-neural-network-
- BP神经网络用于负荷预测,电价估计等,欢迎大家补充更正-BP neural network for load forecasting, price estimates, etc., welcome to add corrections
bp-neural-network
- 由于BP神经网络初始神经元之间的权值和阈值一般随机选择,因此容易陷入局部最小值。本方法使用遗传算法优化初始神经元之间的权值和阈值,并对比使用遗传算法前后的效果。-Since the initial BP neural network weights between neurons and thresholds generally random selection, it is easy to fall into local minimum. This method uses a genetic
BP-neural-network-algorithm
- 该资料是对智能算法中的神经网络算法的改进代码,改进的BP神经网络算法(C语言源码)-The information is intelligent algorithm neural network algorithm code, the improved BP neural network algorithm (C language source code)
BP-neural-network-prediction-method
- BP(Back Propagation)网络是1986年由Rumelhart和McCelland为首的科学家小组提出,是一种按误差逆传播算法训练的多层前馈网络,是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系,而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法,通过反向传播来不断调整网络的权值和阈值,使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层(input)、隐层(hide layer)和输出层(output layer)。-
BP-neural-network-algorithm-
- 本程序包含BP神经网络中的各种不同的算法,包括梯度算法及拟牛顿算法及一步正割等算法-The BP neural network program contains various algorithms, including gradient algorithm and quasi-Newton algorithm and the step secant algorithm, etc.
bp-neural-network(3-hidden-layer)
- 3隐层的bp神经网络,有详细的注释,各隐层的权值调整、输出层阈值调整,学习样本输出层至隐层一般化误差-3 bp neural network hidden layer, there are detailed notes, each hidden layer weight adjustment, the output layer threshold adjustment, learning sample output layer to the hidden layer generalization
bp-neural-network
- bp神经网络的优化修改版本,用c实现,上传-bp neural network optimization modified version of With c realize, upload try
The-BP-neural-network
- Matlab的编程例题,关于BP神经网络的PID温度控制-Matlab programming examples on BP neural network PID temperature control
The-BP-neural-network
- Matlab的编程例题,是关于BP神经网络的PID温度控制-Matlab programming examples, is on the BP neural network PID temperature control
BP-neural-network-function-
- 人工智能及其运用实验亿基于BP神经网络算法的函数逼近-Artificial Intelligence and its use of experimental one hundred million based on BP neural network function approximation algorithm