【摘要】 针对地质学对岩石分类准确性要求高的特点,采用神经遗传算法优化的模糊神经网络技术,能提高岩石分类识别的准确率和识别结果的稳定性。将MATLAB提供的岩石样本数据分为建模数据和测试数据,测试结果表明该方法优于模糊聚类分析和单一BP神经网络模型,具有借鉴价值。更多还原

【Abstract】 For the characteristics of high accuracy requirements to rock classification geology, by Fuzzy Neural Network technology used genetic algorithm optimization can improve the stability of the rock classification accuracy and recognition results. The rock samples provided MATLAB data into modeling data and test data, test results show that the method is superior to fuzzy clustering analysis and single BP neural network model, with reference value.更多还原