搜索资源列表
bp_test1
- 函数sin(x)神经网络BP算法MATLAB仿真-Function sin (x) neural network BP algorithm MATLAB simulation
GA-BP
- 遗传算法的BP神经网络优化算法，以获得较好的优化性能-Genetic algorithm and BP neural network optimization algorithm, to obtain better optimization performance
ga-bp-nonliner
- 遗传算法优化BP神经网——非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
conjugate-gradient
- 两个程序，基于共轭梯度的BP算法，和标准的BP算法，两个都是实现函数逼近-Two procedures, based on the conjugate gradient BP algorithms, and standard BP algorithm, are both function approximation
GA-BP
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize the BP neural network- nonlinear function fitting
BP
- 梯度下降的BP网络算法实现，没有调用matlab的BP网络工具函数，matlab编程。-Gradient descent BP neural network algorithm, the BP network tools no call matlab function, matlab programming.
genetic-bp
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
code
- 三道题，包括1：用多层感知器（MLP）神经网络误差反向传播（BP）算法实现异或问题:2：用奇阶互补法设计两带滤波器组(高、低通互补)，进而实现四带滤波器组 3：估计其功率谱-Three questions, including: 1 using multilayer perceptron ( MLP ) neural network and error back propagation ( BP ) algorithm to realize the XOR problem: 2: the odd
BP-ANN
- BP神经网络算法MATLAB程序，神经网络在寻优方面的应用。-BP neural network algorithm MATLAB program, the application of neural network optimization.
BP
- 对BP网络具体算法程序了解掌握，要从源代码出手，很快些！-Understand the BP network specific algorithm, shot from the source code, and soon some!
bp
- 是一种模范动物神经网络行为特征，进行分布式并行信息处理的算法数学模型-Behavior characteristic of a model animal neural network algorithm mathematical model for distributed parallel information processing
bp
- BP神经网络+遗传算法优化+预测最优条件-BP neural network and genetic algorithm optimization of conditional optimal prediction
LT_simBIAWGN
- LT码的MATLAB仿真程序，译码算法为BP算法。-LT code MATLAB simulation program, the decoding algorithm of BP algorithm.
Genetic-Algorithm
- 神经网络遗传算法函数极值寻优-非线性函数极值。-Genetic algorithm to optimize BP neural network- a non-linear function fitting.
BP
- 遗传算法优化BP神经网络-非线性函数拟合 遗传算法典型事例-Genetic algorithm to optimize BP neural network- a non-linear function fitting the typical examples of the genetic algorithm
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-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)。-
PID-Based-on-BP-NN
- BP神经网络整定的PID算法_matlab源程序-BP neural network tuning PID algorithm _matlab source
genetic-algorithm-and-BP
- 基于遗传算法的BP神经网络优化算法，用遗传算法和BP神经网络优化算法相结合，来寻找最优值。-Based on genetic algorithm optimization algorithm BP neural network, genetic algorithm and BP neural network optimization algorithm combined to find the optimal value.
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