搜索资源列表
BP神经网络小实例
- BP算法人工网路的实例 可以用来学习学习
bp c程序
- bp算法的基本结构 和响应的C语言表述，测试。能更好的学习bp算法的网络结构。
bp
- Bp神经网络算法的VC++实现，包括特征提取，学习，训练等。-Codes of Bp Algorithm, writed by VC++, include the character distill, study, train etc.
bp
- 小波神经网络电力负荷预测,有较强的学习价值和应用价值-Wavelet neural network power load forecasting, there are strong learning value and applied value
BP
- 改进的bp神经网络c++程序，提供初学者进一步学习-Improved bp neural network c++ Procedures provided for beginners to learn
bp
- bp算法实现，运行正常。人工神经网络中BP算法实现了多层反馈式学习过程-bp algorithm, operating normally. BP artificial neural network algorithms in multi-layer feedback-based learning process
BP
- 反向传播算法也称BP算法，是一种神经网络学习的数学模型，解决多层前向神经网络的权系数优化-Back-propagation algorithm, also known as BP algorithm is a neural network study of the mathematical model and solve multi-layer feedforward neural network weights optimization
BP
- 这个学期我学习是神经网络课程,有很多的知识国内都不是很完善,而国外就有很大的进步,下面就是来自一本 <AI for Game>的电子版英文书.其中我就拿用面向对象写的C++类进行说明怎样编写神经网络程序. 神经网络的基本思想就是怎样去改变权值.-This semester my curriculum study are neural networks, there is a lot of internal knowledge is not very perfect, and
bp
- 神经网络bp自学习算法的c++实现，是实际工程的一部分。-bp net is realized by c++.
BP
- BP算法解决函数y=cos( 2*PI* x )学习问题-BP algorithm to solve function y = cos (2* PI* x) learning problems
bp
- bp神经网络代码，可用于模拟，学习能力较强，望对读者有些帮助。-bp neural network code, can be used to simulate, learning ability, hope to help some readers.
BP
- 神经网络的具体实现程序，大家学习学习，如有神经网络这方面的需求，联系我 xukai8633@126.com-Concrete realization of neural network procedures
bp
- bp神经网络的学习和训练 matlab程序代码-bp neural network learning and training matlab code
perceptron
- 构造一个基于感知器学习算法的神经学习系统利用一编程语言建立一个基于感知器/BP学习算法的神经学习系统。-Construct a perceptron learning algorithm based on neural learning system using a programming language to build a device based on the perception/BP learning algorithm for neural learning system.
GA-BP
- BP和GA的联合算法程序，大家喜欢的话，可以下载，共同学习！-BP and GA combined algorithm program you like, you can download, learn together!
BP-Iris-classifier
- 使用BP网络实现了对Iris数据的分类，使用了可变学习速率和带动量的梯度下降算法。-Using the BP network realizes the classification of Iris data, the use of the variable learning rate and the amount of gradient descent algorithm driven.
BP-Neural-network-PID
- 神经网络的结构选4-5-3，学习速率为0.28，惯性系数为0.04，加权系数初始值取-0.5-0.5上的随机数。-4-5-3 neural network structure selection, the learning rate is 0.28, the inertia coefficient is 0.04, the initial value of weighting factor to take-0.5-0.5 the random number.
bp算法
- 采用典型的BP算法实现了有导师学习下的神经网络，采用输入层、隐含层和输出层的三层结构，实现了BP算法。
15、BP学习
- 非常好的关于Bp神经网络的资料，有介绍，有代码实现，简明易懂，注释到位(very good codes for bp net work, with introduction and well worked codes ,and proper explanation included)
BP学习算法在CNN发电机建模中应用
- BP学习算法在CNN发电机建模中应用 Deep learning(the application of BP learning algorithm in modeling off CNN electric machine)