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粒子群优化模糊神经网络用于破产预测

于 2022-01-25 发布 文件大小:941.45 kB
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由于优异的性能和处理非索取粒子群优化算法的模糊神经网络是比要高得多线性数据具有自学习能力,从神经网络获得的神经网络。为了明确起见,说明 (NNs) 广泛使用中财务预测问题。但 NNs 示例还显示在这项研究。更多或更少患有收敛速度慢,"黑箱"即它是几乎不可能的分析他们为他们的工作。模糊神经 Networks(FNN) 允许添加规则的神经网络。这就避免了但缺乏有效的黑盒的学习能力。为了克服这些缺点,在本研究中的 粒子群优化算法提出第一次然后结合模糊神经网络预测公司破产。结果表明,预测准确性从粒子群优化算法的模糊神经网络获得比得到的要高得多从神经网络。为了明确起见,一个说明性的例子也是在这项研究表明

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