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The purpose of this study was to investigate effectiveness of decision tree, artificial neural network and logistic regression models for predicting prognostic factors and survivability of patients with non-small cell lung cancer.

本研究目的是使用决策树、类神经网路和逻辑斯回归模型三种资料探勘演算法探讨非小细胞肺癌(non-small cell lung cancer, NSCLC)预后因子及模型的影响因素。

ABSTRACT :Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

小波神经元网络比多层前馈神经网络具有更多自由度和更好的顺应性。

ABSTRACT :Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

摘 要:小波神经元网络比多层前馈神经网络具有更多自由度和更好的适应性。

ABSTRACT 摘要:Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

摘要摘要:小波神经元网络比多层前馈神经网络具有更多自由度和更好的适应性。

ABSTRACT :Wavelet neural network possesses more degree of freedom and adaptivity than multi-layer FP neural network.

小波神经元比多层前馈神经网络具有更多自由度和更好的适应性。

ABSTRACT :Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

内容摘要:摘要:小波神经元网络比多层前馈神经网络具有更多自由度和更好的适应性。

This paper describes a new method for constructing a rough neural network. In this network, rough neurons lie in the hidden-layer, and they consist of three parts which generated by two hyperplanes that partition the universe.

本文根据支持向量机可以解决小样本学习问题的优势,再结合粗集理论对不确定性问题分析的特点,提出一种支持向量机的粗糙神经网络的构造方法。

Objective: Comparative and extended research among the newly found cell, microglia cell and atypical cell in the rat organ of Corti after aminoglycoside intoxication; to further explore quality, origin, and the relationship between the newly found cell and the neural stem cell or nestin progenitor cell.

目的:对大鼠耳蜗药物损伤后出现的新细胞与小胶质细胞、非典型细胞进行比较和扩展研究,探讨新细胞的代表性及其起源、转归、以及与神经干细胞或nestin前体细胞的关系。

The viscosity and surface tension of lubricant have been qualitatively analyzed and predicted by means of partial least squares method and quantitatively calculated using artificial neural network with structural parameters as features. The structural parameters involved distribution coefficient, molecular volume. The qualitatively or quantitatively calculated results are in agreement with experimental results.

用分子碎片法计算表示润滑剂分子结构的体积参数、电负性参数、亲水-疏水性等参数,结合偏最小二乘法和人工神经网络方法对分子结构与表面张力和粘度之间的定量关系进行了计算及预报,结果与实验值符合较好。

This paper presents an ECG data compression algorithm based on the wavelet neural network.

本文在研究心电信号特征的基础上提出了动态心电数据的小波神经网络压缩算法。

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