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jnntbeta0.2f
- 人工神经网络java工具箱源代码 包含BP网络,K分类和RBF网络-ANN java source code toolkit includes BP, K Classification and RBF Network
ArtificialStock
- java人工股市源码,用了GA(Genetic Algorithm)和ANN(Artificial Neural Network)。内附程序详细说明,强烈推荐!-artificial source, with the GA (Genetic Algorithm) and ANN (Artificial Neural Network). Enclosing procedures detailed descr iption, strongly recommended!
ann
- bp神经网络算法的java实现(原创): 本程序为原创,实现改进的bp神经网络(动量因子),包含3个java文件,使用简单。
ANN
- BP人工神经网络算法,用java代码实现,用scilab图像显示,案例是港口吞吐量的预测
54966416456
- 人脸识别中若干关键问题的研究,博士学位论文,写的很好哦-A number of key issues in face recognition research, PhD thesis, written in, oh well
ann
- bp神经网络程序和java源代码源代码是eclipse的工程,所以若您使用的是eclipse,可以直接用eclipse的import将源代码的文件夹加入-bp neural network programs and java source code source code is eclipse project, so if you are using eclipse, you can import directly from eclipse' s source code folder to
JAVA1
- 张量积计算神经网络Java程序,用神经网络预测求解-ANN JAVA
java_pwriter
- 这是一个用神经网络实现大写字母识别的程序,用java实现-ANN
91613810JavaNNS
- 使用JAVA语言实现的ANN,随堂作业,没啥含金量,有需要的下吧。-Using the JAVA language of ANN, quiz job, nothing gold content, the need to lower it.
javaBSquanxian
- java实现的bs权限管理系统 金典安荻-BS rights management system java implementation Golden Ann Di
text5
- 人工神经网络反映了人脑功能的若干基本特性,但并非生物系统的逼真描述,只是某种模仿、简化和抽象。用java语言实现神经网络算法。-ANN reflects certain fundamental human characteristics of brain function, but not a realistic descr iption of biological systems, but some kind of imitation, simplification and abstracti
LoginCjlu
- 正方教务通用安卓源码是某大学基于正方教务系统开发的安卓客户端项目,实现了课程表查询,个人成绩查询,个人信息查看等功能,国内的很多大学教务系统就是用的这套系统,因为客户端是基于正方教务这一通用系统开发的所以应该也具有通用性,如果您的学校是用的这套系统可以把SetNet.java文件和Login.java文件中的IP更改成您的学校的IP或域名,就可以实现在手机上查成绩查课程表了。项目涉及的东西不多,数据获取是通过模拟请求分析返回网页内容获取数据的。 -Square academic genera
AE
- ANN(AutoEncoder)的java实现,网络部分为优化后的类BP算法-ANN (AutoEncoder) java realization, the network part of the class for the optimized BP algorithm
Ann
- 使用java语言编写的BP神经网络算法,实现了BP算法的功能(Using the BP neural network algorithm written in java language, the function of BP algorithm is realized)
SOM11766142016
- A self-organizing map (SOM) or self-organising feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the inp