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Description: 难得一见的C#神经网络建模，吐血推荐，全面解决神经网络的各种问题.-rare to see a C# neural network modeling, vomiting blood recommendation, a comprehensive solution to the neural network problems.
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Size: 133967 |
Author: 李力 |
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Description: 一组老外编写的神经网络源代码，非常值得收藏和研究。有BPN、ART1、ADALINE、SOM、CPN、HOPFIELD、BOLTZMAN等神经网络。吐血推荐在进行神经网络编程的朋友下载。 -a group of foreigners prepared neural network source code is very worthwhile collection and research. There are 7.82, ART1, ADALINE, SOM, CPN, Hopfield, BOLTZMAN such as neural networks. Suggest to vomit blood during neural network programming downloaded friends.
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Size: 111500 |
Author: 于一 |
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Description: 一组老外编写的神经网络源代码，非常值得收藏和研究。有BPN、ART1、ADALINE、SOM、CPN、HOPFIELD、BOLTZMAN等神经网络。吐血推荐在进行神经网络编程的朋友下载。 -a group of foreigners prepared neural network source code is very worthwhile collection and research. There are 7.82, ART1, ADALINE, SOM, CPN, Hopfield, BOLTZMAN such as neural networks. Suggest to vomit blood during neural network programming downloaded friends.
Platform: |
Size: 274432 |
Author: 于一 |
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Description: 难得一见的C#神经网络建模，吐血推荐，全面解决神经网络的各种问题.-rare to see a C# neural network modeling, vomiting blood recommendation, a comprehensive solution to the neural network problems.
Platform: |
Size: 134144 |
Author: 李力 |
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Description: 一些数据挖掘算法相关,包含定义网络拓扑,有关高血压研究方面的数据,朴素贝叶斯分类,关联规则基本概念,数据挖掘算法,
决策树方法在数据挖掘中的应用,训练贝叶斯信念网络,后向传播,贝叶斯信念网络,后向传播和可解释性,多层前馈神经网络-Some relevant data mining algorithms, including the definition of network topology, the high blood pressure research data, Naive Bayesian Classifier, the basic concepts of association rules, data mining algorithms, decision tree method in data mining applications, training Bayesian belief networks, to the spread of Bayesian belief networks, to the dissemination and interpretability, multi-layer feedforward neural network
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Size: 184320 |
Author: fast man |
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Description: Neural Network Blood vessels
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Size: 84992 |
Author: vinoth |
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Description: 利用BP神经网络对在不同介质上面的不同血液进行检测-BP neural network in different media for different blood were detected above
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Size: 242688 |
Author: 袁杨宇 |
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Description: Measuring the blood urea nitrogen concentration
is crucial to uate dialysis dose (Kt/V) in patients
with renal failure. Although frequent measurement is needed
to avoid inadequate dialysis efficiency, artificial intelligence
can repeatedly perform the forecasting tasks and
may be a satisfactory substitute for laboratory tests. Artificial
neural networks represent a promising alternative to
classical statistical and mathematical methods to solve
multidimensional nonlinear problems. It also represents a
promising forecasting application in nephrology. In this
study, multilayer perceptron (MLP) neural network with
fast learning algorithms is used for the accurate prediction
of the post-dialysis blood urea concentration-Measuring the blood urea nitrogen concentration
is crucial to uate dialysis dose (Kt/V) in patients
with renal failure. Although frequent measurement is needed
to avoid inadequate dialysis efficiency, artificial intelligence
can repeatedly perform the forecasting tasks and
may be a satisfactory substitute for laboratory tests. Artificial
neural networks represent a promising alternative to
classical statistical and mathematical methods to solve
multidimensional nonlinear problems. It also represents a
promising forecasting application in nephrology. In this
study, multilayer perceptron (MLP) neural network with
fast learning algorithms is used for the accurate prediction
of the post-dialysis blood urea concentration
Platform: |
Size: 385024 |
Author: samir |
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Description: Blood Vessel Detection and Classification analysis on Numerical Method of Neural Network
Platform: |
Size: 3642368 |
Author: Dheena |
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