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Personal-credit-assessment--BP
- 基于BP网络的个人信贷信用评估,通过这样实现对个人的信贷信用成功评估-Personal credit assessment based on BP network, this achieving successful evaluation of personal credit
Code
- 基于BP网络的个人信贷信用评估，经济学建模上可用到-BP network based on personal credit credit assessment is available to the econometric modeling
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- 基于BP网络的个人信贷信用评估，神经网络的matlab实现代码，希望对大家有帮助-BP network personal credit uation based on MATLAB neural network, the realization of the code, we hope to help
BP
- 《MATLAB神经网络原理与实例精解》中chap13的例子 基于BP网络的个人信贷信用评估-" MATLAB network principles and examples of fine nerve Solutions" in the example chap13- Based on BP Network personal credit credit assessment
基于BP网络的个人信贷信用评估
- matlab平台使用的基于BP网络的个人信贷信用评估 具有预测功能 非常好用(The personal credit credit evaluation based on BP network used by Matlab platform has very good prediction function)
基于BP网络的个人信贷信用评估
- 有关于bp的matlab编程，信贷方面。有介绍。有代码。有关于bp的matlab编程，信贷方面。有介绍。有代码。(There are matlab programming on bp, credit aspects. Have introduced. Have code)
基于BP网络的个人信贷信用评估
- BP神经网络的matlab应用算例，个人信贷信用评估(An example of the Matlab Application of BP neural network, personal credit evaluation)
基于BP网络的个人信贷信用评估
- 基于BP网络的个人信贷信用评估，使用MATLAB来实现(Credit evaluation of personal credit based on BP network)
基于BP网络的个人信贷信用评估
- 基于BP网络的个人信贷信用评估，人工智能的一点点例子(Personal credit credit assessment based on BP network, a little example of artificial intelligence)
基于BP网络的个人信贷信用评估
- BP神经网络实现个人信贷评估，对于银行来说，客户的信用直接影响其效益。(Personal credit evaluation by BP neural network)
基于BP网络的个人信贷信用评估
- 利用bp神经网络，及相关数据对人的个人信用进行评估(Using BP neural network and related data to evaluate personal credit.)
基于BP网络的个人信贷信用评估
- 这是一个用matlab编写的基于BP神经网络的个人信贷信用评估程序，亲测有效，欢迎下载。(This is a personal credit evaluation program based on BP neural network compiled by matlab. It is effective for personal testing. Welcome to download.)
基于BP网络的个人信贷信用评估
- 这是一个BP神经网络在个人信贷评估方面应用的一个实例，有程序代码。适合初学者(This is an example of the application of BP neural network in personal credit evaluation, with program code.)
基于BP网络的个人信贷信用评估
- 一个基于BP神经网络的个人信贷信用评估程序(A credit evaluation procedure for personal credit based on BP neural network)