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How Neural Networks Can Be Used in Well-Logging Applications

机译:神经网络如何用于良好的日志记录应用程序

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During last ten years important change occurred in methods used for fitting curves to data, optimization of processes, estimation of solutions and stochastic functions or mapping from one space to other frequently of different dimensionality. From purely statistical methods we are frequently passing to the use of artificial intelligence methods based on biological models namely: centre dot artificial neural networks based on brain functions, or centre dot genetic algorithms relying on the biological systems evolution.
机译:在过去十年中,用于拟合曲线的方法发生的重要变化,用于数据,过程优化,解决方案和随机功能的优化,从一个空间映射到其他常见的不同维度。从纯粹的统计方法,我们经常通过基于生物学模型的人工智能方法,即:基于脑功能的中心点人工神经网络,或依赖于生物系统演化的中心点遗传算法。

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