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traingdmOrbr
- 用matlab编的ＢＰ程序，两种训练算法进行比较，对于学习ＢＰ网络的人很有益处-using Matlab part of BP procedures, two training algorithm, BP learning network of useful
labs-1005
- LABS-1005开发学习套件基于研华Adam5000/485， Adam4000,工业数据网关，配合完备的过程测量组件、控制组 件、通讯组件、开发工具组件、演示软件包、训练手册等， 向您提供完整的开发训练平台，全部系统封装在精致铝箱中。 让您全新体验基于工业分布式过程采集与控制系统的的强大 功能与开发能力。 -LABS - 1005 development kit based on the inquiry learning Chinese Adam5000/485. Ada
machine_learning_related
- svm-space vector machine，由于人工智能中的机器学习时的测试和训练-svm-space vector machine, As AI machine learning the test and training
WiseBoy462
- 一个可自我学习的人工智能小模型，可进行训练，也可进行提问。-a self-learning artificial intelligence model small, it can conduct training, can question.
vc34733555
- 进行汉字,字符,数字识别,有预先的训练集一开始载入,然后通过一遍遍的学习,达到识别的功能-for Chinese characters, characters, digital identification, and pre-training set included a start, and then repeatedly through the study, to achieve the function
2006071210002
- 一个外国人写的字符识别训练源码，VC++源码，有源码、说明及演示可执行程序，对学习和研究模式识别很有帮助。-written by a foreigner Character Recognition training source, VC source, a source that, and the demonstration of the executable, on learning and pattern recognition research helpful.
sflbp
- 用于三分类的bp算法matlab程序 下面是一个两概念（一个三角形和一个矩形）学习的例子，是一个典型的多分类例子 分类结果的正确率可通过训练网络进一步提高 -for three classification algorithm Matlab procedures bp below is a two concepts (a triangle and a Moment fractal) learning example is a typical example of multi-c
BPexample
- 开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。-development environment : Matlab Brief Descr iption : Momentum-adaptive learning
shengjingwangluo
- 本算法在训练步数、训练时间及其误差精度等方面都优于常规的模糊神经网络，其学习收敛速度快、误差曲线也更稳定。-the algorithm steps in training, training time and error accuracy is superior to the conventional fuzzy neural network, learning fast convergence, the error curve is more stable.
C++200eg
- C++程序200个例子，其中从基础出发，由浅入深，很好的作为学习C＋＋的配套训练。-200 C Program, in which from the base, elementary, as a good learning C + + support training.
SimpleChinaRecognise
- 汉字识别系统。基于样本训练的汉字识别系统，何以识别汉字/字符数字等。很适合学习基本原理的研究者使用。-Chinese character recognition system. Based on the training sample Chinese character recognition system, why is recognition of Chinese characters / character statistics. Very suitable for studying th
rgzn
- 一个可自我学习的人工智能小模型，可进行训练，也可进行提问-a self-learning artificial intelligence small, and can be used for training, may also question
rbfsensor
- 这是训练rbf神经网络，对传感器的性能进行学习，最后达到替代温度传感器的作用-training rbf neural network, the performance of the sensor learning. Finally alternative to the role of temperature sensors
BP_recognize_digitV1
- 图像数字的识别。输入一系列有代表性的图像数字的样本，训练网络，得到的权值序列存放到文件中；输入待识别的图像数字序列，通过学习得到的权值矩阵对图像中的数字进行识别，并输出结果。-image recognition. Importation of a representative range of digital images of samples, the training network, the weights of sequences stored to a file; Identifica
WordIdentity
- 汉字识别系统。基于样本训练的汉字识别系统，何以识别汉字/字符数字等。很适合学习基本原理的研究者使用。 -Chinese character recognition system. Based on the training sample Chinese character recognition system, why is recognition of Chinese characters / character statistics. Very suitable for studying t
BP_nn
- BP神经网络对2ask,2fsk,4fsk,2psk,4psk,gmsk六种信号的学习和训练。 -BP neural network 2ask, 2fsk, 4fsk, 2psk, 4psk. gmsk six signals in the learning and training.
bp_train_VC
- BP的训练方法.删除init_wj_hid_output与init_wj_input_hid可以进行新的学习!不然只是按老方式学习!这是一个最简单的BP算法异或问题!没有阈值，学习速度不可改变!下次会改进!如果同或只需改变输入的方式就可以!-BP's training methods. Delete init_wj_hid_output with init_wj _input_hid can conduct new learning! Otherwise, only the old wa
tony dll
- 自己在学DLL时的训练题目，虽然简单，但是可以从中很快的学习怎么创建和使用D-school DLL in the training topics, although simple, but be able to quickly learn how to create and use D
c++24
- 一个可自我学习的人工智能小模型，可进行训练，也可进行提问。
BPrepresentation
- BP学习算法应用——函数表达 源代码实现了BPN的设计，使得通过训练后的BPN实现了函数表达，即BPN的输出与输入反映了特定的函数映射关系。代码中的具体应用实例为傅立叶核函数，应用BP学习算法拟合出傅立叶核函数，速度快，精度高。 将源文件F_core_discr iption.m文件放入matlab的work文件夹中直接运行即可。