搜索资源列表
ANN1
- 神经网络的学习好例题————遗传算法的优化计算——建模自变量降维-Neural network to learn a good example---- GA optimization- lower-dimensional modeling of the independent variables
bp333
- BP神经网络算法。 已经经过验证了 希望能带来帮助 一起学习-BP neural network algorithm. Has been proven to help bring hope to learn together
BP(c)444
- BP神经网络算法。 已经经过验证了 希望能带来帮助 一起学习-BP neural network algorithm. Has been proven to help bring hope to learn together
matlabshixian1
- BP神经网络算法。 已经经过验证了 希望能带来帮助 一起学习-BP neural network algorithm. Has been proven to help bring hope to learn together
GA
- GA神经网络算法。 已经经过验证了 希望能带来帮助 一起学习-GAneural network algorithm. Has been proven to help bring hope to learn together
shenjingwangluo
- 多种神经网络算法。 已经经过验证了 希望能带来帮助 一起学习-Variety of neural network algorithm. Has been proven to help bring hope to learn together
2.3
- 线性神经网络模型与学习算法线性神经网络模型与学习算法-Linear neural network model and learning algorithm
1
- 人工智能的资料,是河海大学的教学资料.是学习神经网络的前期资料.-Artificial intelligence data, is the teaching of Hohai University information is preliminary information on neural network learning.
ganzhiji
- 感知机算法:神经网络感知机学习算法C++语言编程代码-algorithm of Perceptron :neural network of Perceptron learning algorithm in C++ language source code
ELM
- 基于传统支持向量机(sVM)训练速度慢、参数选择难等问题,提出了基于极限学习机(ELM)的岩性识别。该算法是一种新的单隐层前馈神经网络(sLFNs)学习算法,不但可以简化参数选择过程,而且可以提高网络的训练速度。-Based on the traditional support vector machine (sVM) training is slow, difficult issues such as parameter selection, extreme learning machine
ELM-NN
- 基于极限学习机(ELM)的岩性识别。该算法是一种新的单隐层前馈神经网络(sLFNs)学习算法,不但可以简化参数选择过程,而且可以提高网络的训练速度。-Based on the traditional support vector machine (sVM) training is slow, difficult issues such as parameter selection, extreme learning machine is proposed based on (ELM) of li
FFF
- 神经网络是通过模拟生物神经系统的结构功能而构成的一种信息处理系 统。经过40余年的发展,神经网络已经成为机器学习、模式识别、信号处理等 信息科学领域中一类十分重要的方法。 本文首先概括地总结了神经网络的发展历程。在三个不同阶段中,神经网 络的发展具有不同的特点。到20世纪90年代,神经网络成为信息科学中一个 重要的热点研究领域。文中还讨论了神经网络的特点、常见的分类方法、学习 类型和学习算法等内容。 -Through the simulation of biologi
BP
- 这是一个实际的神经网络的例子,运用BP前向神经网络,简单明了,适合初学者学习研究-This is a practical example of the neural network, prior to the use of BP neural network is simple, suitable for beginners to learn research
nnTrain-tutorial
- 神经网络训练程序,这个可以帮组你初步学习matlab-Neural network training process, this preliminary study can help set your matlab
BPMIP
- 机器学习,多示例学习算法,基于BP人工神经网络,使用matlab实现。-Machine learning, multi-instance learning algorithm, based on BP artificial neural network, using matlab.
bp
- 熟悉Bp神经网络 基础,帮助新手学习,其中包括了几个实例-Familiar with Bp neural network-based, to help novices to learn, including a few examples
hopfield_neuro_network
- 用matlab编写的求解10城市、31城市、70城市的TSP神经网络算法,供大家学习只用,算法简洁明了,注释全,易理解。-Using matlab to solve 10 cities, 31 cities, 70 cities TSP neural network algorithm, only for them to learn the algorithm concise, notes the whole, easy to understand.
ANN-matlab-code
- 人工神经网络ANN程序,带图形界面,可以选用不同学习规则(Hebb, Delta, LMS, Conceptron, Correlation)和不同的转移函数-ANN artificial neural network program with a graphical interface, you can use different learning rules (Hebb, Delta, LMS, Conceptron, Correlation) and different transfer
simulation-of-BP-neural-network
- BP神经网路的matlab仿真,该程序用matlab演示了BP神经网络的学习机制。-simulation of Back Propagation neural network
BP
- BP神经网络的一个实例,介绍BP神经网络的工作原理,适合初学者学习。-An example of BP neural network to introduce the working principle of BP neural network is suitable for beginners to learn.