TY -的A2 Becerra-Alonso大卫盟,奇丹巴拉姆,s . AU - Ganesh s Sankar盟——Karthick Alagar AU - Jayagopal,您正在盟——Balachander Bhuvaneswari AU - Manoharan, s . PY - 2022 DA - 2022/05/11 TI -诊断乳腺癌的基于自适应神经模糊推理系统SP - 9166873六世- 2022 AB -在这个工作,一种新颖的混合神经模糊分类器(HNFC)技术提出了生产更多的输入数据分类的准确性。使用广义隶属函数的输入是fuzzified。模糊化矩阵有助于创建输入模式之间的连接和数据集各种类的隶属程度。据,对输入数据执行分类过程。这部小说的方法是应用十基准数据集的数量。在预处理过程中,缺失的数据与平均值代替。然后,应用统计相关数据集选择的重要特征。应用数据转换技术后,归一化的值。最初,模糊逻辑已经申请输入数据集;然后,将神经网络应用于测量性能。 The result of the proposed method is evaluated with supervised classification techniques such as radial basis function neural network (RBFNN) and adaptive neuro-fuzzy inference system (ANFIS). Classifier performance is evaluated by measures like accuracy and error rate. From the investigation, the proposed approach provided 86.2% of classification accuracy for the breast cancer dataset compared to other two approaches. SN - 1748-670X UR - https://doi.org/10.1155/2022/9166873 DO - 10.1155/2022/9166873 JF - Computational and Mathematical Methods in Medicine PB - Hindawi KW - ER -