搜索资源列表
the-svm-parameter-optimization
- SVM神经网络中的参数优化，用以提升分类器的性能-The SVM parameters optimization of neural network
classifier
- 多种分类器gui界面，包括支持向量机、贝叶斯分类器、感知机、神经网络等-Multiple classifier GUI interface, including support vector machines, Bayesian classifier, perceptron neural network
financial-early-warning-model
- 对于本项目来说,共有1350组公司财务状况数据,每组数据的输入为10维,代表上述的10个指标,输出为1维,代表公司财务状况,为1时表示财务状况良好,为-1时表示财务状况出现问题。从中随机选取1000组数据作为训练数据,350组数据作为测试数据。根据数据维 数,采用的BP神经网络结构为10—6—1,共训练生成10个BP神经网络弱分类器,最后用10 个弱分类器组成强分类器对公司财务状况进行分类。-For this project, a total of 1350 group company&
on-convolutional-nueral-network
- 基于卷积神经网络的模式分类器,论文中讲述了卷积神经网络的技术，是个好论文。-pattern classfier based on convolutional nerual networks
BP(adaboost)
- BP神经网络作为若分类器，反复训练BP神经网络预测样本输出-As if the BP neural network classifier, repeated training samples of BP neural network output
eg5-gongsicaiwuyujingjianmo
- 《MATLAB神经网络30个案例分析》中的第5个例子，案例5 基于BP_Adaboost的强分类器设计-公司财务预警建模。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 5 example, case 5 strong classifier design based on BP_Adaboost- corporate financial early warning model. Hope to have certain
eg13-tishengxingneng
- 《MATLAB神经网络30个案例分析》中的第13个例子，案例13 SVM神经网络中的参数优化---提升分类器性能。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 13 cases of 13 SVM parameters optimization of neural network classifier performance- ascension. Hope to have certain help
13-SVM-bp
- SVM神经网络中的参数优化---提升分类器性能,模型精度较高-SVM neural network classifier parameter optimization--- to enhance performance, high accuracy of the model
8
- bp网的程序，设计一个神经网络字符分类器对英文字母进行分类。输入向量含有16个分量，输出向量分别用设置的T向量，还不完善，有待改进-bp network program, character design a neural network classifier to classify the English alphabet. Input vector contains 16 components, respectively T vector output vector set, not per
Neural-Network
- 应用神经网络与神经网络相关的几个问题,这包裹集中经典分类器,和图像分割,特别是彩色图像分割和过滤-Application of neural networks is associated with several issues related to the neural network, which wrapped centralized classical classifier, and image segmentation, especially color image segmentati
orl
- 通过运用主成分分析法，线性分类器，神经网络来对测试样本与训练样本加以匹配-To be matched to the test sample and the training samples by using principal component analysis, linear classifiers, neural network
fpga_code
- 神经网络ELM的vhdl实例，该算法权值已在matlab上训练好，实际就充当一个硬件分类器-Vhdl examples ELM neural network, which is a good weight algorithm has been trained on matlab, actually acts as a hardware classifier
bp
- 分类器，对点进行分类，人工神经网络，使用后向传递函数,back propagation-bp classification
ANN
- 一个运用BP神经网络设计数字识别的分类器的demo，用opencv实现的。-A digit recognition using BP neural network design classifier demo, with opencv.
CarPlateandroid
- 安卓系统，基于opencv 、神经网络、分类器，实现车牌定位，识别。-Android system, based on opencv, license plate location, identification, use of license plate recognition classifier.
PID-shenjingwangluo-kongzhi
- BP神经网络 作为弱分类器，反复训练，多个BP神经网络组成强分类器-The BP neural network as a weak classifier, repeated training, many of the BP neural network classifier
bpadaboost
- 基于神经网络的Adaboost,即基分类器是神经网络，经过测试，效果好！-Based on neural network Adaboost, that is a neural network-based classification , tested , good results !
percep01
- 利用神经网络中感知器进行简单的线性分类。-With simple linear perceptron neural network classification.
fenleiqi
- 一种基于神经网络的分类器，可以解决各种分类问题。-Based on neural network classifiers can solve classification problems.
BP-classifer
- 一个基于BP神经网络的分类器处理IRIS数据。-A classification based on BP neural network processing IRIS data.