BP-Neural-Network | Back-Propagation Neural Network

 by   junjieqian C++ Version: Current License: MIT

kandi X-RAY | BP-Neural-Network Summary

kandi X-RAY | BP-Neural-Network Summary

BP-Neural-Network is a C++ library. BP-Neural-Network has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Neural network using back propagation machine learning model for disk failure prediction Junjie Qian, jqian.unl@gmail.com. Input set: 1. read attributes from "configuration" file, format defined; 2. data set format expect as "value1,value2,value3,...,valuen n m value1,...,valuem"(n the input attributes number, m the output attributes number). Files: "include", all head files; "src" all source files; "obj" all object files; "sample" sample configure file and train/test datasets; "testing" testing files. This work is part of our paper published on IEEE NAS 2015 and later reported by TechRepublic (
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              BP-Neural-Network has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              BP-Neural-Network has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of BP-Neural-Network is current.

            kandi-Quality Quality

              BP-Neural-Network has no bugs reported.

            kandi-Security Security

              BP-Neural-Network has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              BP-Neural-Network is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              BP-Neural-Network releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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