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本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值。随代码还提供帮助文件，非常方便。-BP algorithm Demonstration Program, which Levenberg-Marquardt algorithm has practical value. With the code also provides help files, a very convenient.
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This a java implementation of Levenberg-Marquardt algorithm to train properly a neural network. Levenberg-Marquardt, implemented from the general descr iption in Numerical Recipes (NR), then tweaked slightly to mostly match the results of their code.
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这是一个实现Levenberg-Marquardt算法的MATlAB代码，总共4个文件f.m产生目标评价函数，l_m_trust.m是进行L_M算法迭代处理，trtestlm.m是采用置信域方法决定更新参数和置信系数，而测试函数入口时test_lm.m，每个函数里面有详细的中文注释，希望能给你的工作带来帮助！-This is an implementation of Levenberg-Marquardt algorithm MATlAB code, generated a total of f
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Code for Levenberg–Marquardt algorithm.
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a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
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a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
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a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
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a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
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a back propagation neural network matlab code, learning by levenberg–marquardt algorithm
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a memo how to right a matlab code
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Levenberg-Marquardt法（简称LM法）最优化matlab源码-Matlab source code of Levenberg-Marquardt method (referred to as the LM method) used to optimization.
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L-M(Levenberg—Marquardt)是一种非线性最优化里面最常用的方法之一，改方法能快速而准确的逼近收敛值。本文简述了改方法的操作原理和具体运用，如可以方便的用于有约束与无约束最优化的求解。本文件里面有源码和测试码以及对该方法的具体介绍PDF文件。欢迎下载。-L- M (Levenberg- Marquardt) is a kind of nonlinear optimization inside one of the most commonly used method, chang
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levenberg-marquardt算法，有C代码和matlab代码，可参考使用-Levenberg-Marquardt algorithm, C code and matlab code, the use of reference
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Levenberg Marquardt算法的matlab代码,简洁无误,结构清晰,便于快速学习。-
LevenbergMarquardt algorithm matlab code, simple and correct, clear structure, easy to learn quickly.
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