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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
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- 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
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- 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
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-hehanshubiaoda
- 在Windows环境中利用Matlab实现BP学习算法在达到期望均方误差最小的情况下正确表达傅里叶核函数。-BP learning algorithm using Matlab achieve in the Windows environment to achieve the desired mean square error at minimal correct expression of Fourier kernels.
BP
- BP神经网络经过训练与学习，逼近非线性函数(BP neural networks are trained and studied to approximate nonlinear functions)
BP网络
- 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（梯度法），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 layer）、隐层(hide layer)和输出层(outpu
BP
- 初步学习ＢＰ神经网络，适用于初步接触深度学习的朋友。(Preliminary study on BP neural network)
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- 简单的bp神经网络代码，通过python编写，很适合学习应用(Simple BP neural network code, written by python, it is suitable for learning applications)
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)