export const knowledgeTree = [
  {
    id: '1',
    courseName: '人工智能基础',
    chapterName: '第一章：人工智能概述',
    sectionName: '1.1 人工智能的定义与发展',
    children: [
      {
        id: '1-1',
        label: '图灵测试',
        children: [
          { id: '1-1-1', label: '测试方法' },
          { id: '1-1-2', label: '历史意义' }
        ]
      },
      {
        id: '1-2',
        label: 'AI分类',
        children: [
          { id: '1-2-1', label: '弱人工智能' },
          { id: '1-2-2', label: '强人工智能' },
          { id: '1-2-3', label: '超人工智能' }
        ]
      },
      {
        id: '1-3',
        label: '发展历程',
        children: [
          { id: '1-3-1', label: '起源期(1950s)' },
          { id: '1-3-2', label: '早期发展(1960-70s)' },
          { id: '1-3-3', label: '知识工程期(1980-90s)' },
          { id: '1-3-4', label: '机器学习复兴(2000s)' },
          { id: '1-3-5', label: '深度学习革命(2010s-)' }
        ]
      }
    ]
  },
  {
    id: '2',
    courseName: '人工智能基础',
    chapterName: '第一章：人工智能概述',
    sectionName: '1.2 AI的应用领域',
    children: [
      {
        id: '2-1',
        label: '医疗健康',
        children: [
          { id: '2-1-1', label: '医学影像诊断' },
          { id: '2-1-2', label: '药物研发' },
          { id: '2-1-3', label: '手术机器人' }
        ]
      },
      {
        id: '2-2',
        label: '金融服务',
        children: [
          { id: '2-2-1', label: '风险控制' },
          { id: '2-2-2', label: '智能投顾' },
          { id: '2-2-3', label: '反欺诈检测' }
        ]
      },
      {
        id: '2-3',
        label: '智能交通',
        children: [
          { id: '2-3-1', label: '自动驾驶' },
          { id: '2-3-2', label: '交通优化' }
        ]
      }
    ]
  },
  {
    id: '3',
    courseName: '人工智能基础',
    chapterName: '第一章：人工智能概述',
    sectionName: '1.3 AI技术栈与工具',
    children: [
      {
        id: '3-1',
        label: '开发环境',
        children: [
          { id: '3-1-1', label: 'Python环境搭建' },
          { id: '3-1-2', label: '开发工具配置' }
        ]
      },
      {
        id: '3-2',
        label: '技术栈架构',
        children: [
          { id: '3-2-1', label: '硬件层' },
          { id: '3-2-2', label: '软件框架层' },
          { id: '3-2-3', label: '应用层' }
        ]
      },
      {
        id: '3-3',
        label: '主流工具对比',
        children: [
          { id: '3-3-1', label: '开源工具' },
          { id: '3-3-2', label: '商业工具' }
        ]
      }
    ]
  },
  {
    id: '4',
    courseName: '人工智能基础',
    chapterName: '第二章：机器学习基础',
    sectionName: '2.1 机器学习概述',
    children: [
      {
        id: '4-1',
        label: '监督学习',
        children: [
          { id: '4-1-1', label: '分类算法' },
          { id: '4-1-2', label: '回归算法' }
        ]
      },
      {
        id: '4-2',
        label: '无监督学习',
        children: [
          { id: '4-2-1', label: '聚类算法' },
          { id: '4-2-2', label: '降维技术' }
        ]
      },
      {
        id: '4-3',
        label: '强化学习',
        children: [
          { id: '4-3-1', label: 'Q学习' },
          { id: '4-3-2', label: '策略梯度' }
        ]
      }
    ]
  },
  {
    id: '5',
    courseName: '人工智能基础',
    chapterName: '第二章：机器学习基础',
    sectionName: '2.2 线性回归算法',
    children: [
      {
        id: '5-1',
        label: '数学原理',
        children: [
          { id: '5-1-1', label: '最小二乘法' },
          { id: '5-1-2', label: '梯度下降' },
          { id: '5-1-3', label: '损失函数' }
        ]
      },
      {
        id: '5-2',
        label: '算法实现',
        children: [
          { id: '5-2-1', label: 'Python实现' },
          { id: '5-2-2', label: '参数优化' }
        ]
      },
      {
        id: '5-3',
        label: '应用案例',
        children: [
          { id: '5-3-1', label: '房价预测' },
          { id: '5-3-2', label: '销量预测' }
        ]
      }
    ]
  },
  {
    id: '6',
    courseName: '人工智能基础',
    chapterName: '第二章：机器学习基础',
    sectionName: '2.3 分类算法基础',
    children: [
      {
        id: '6-1',
        label: '逻辑回归',
        children: [
          { id: '6-1-1', label: 'Sigmoid函数' },
          { id: '6-1-2', label: '极大似然估计' }
        ]
      },
      {
        id: '6-2',
        label: '决策树',
        children: [
          { id: '6-2-1', label: '信息增益' },
          { id: '6-2-2', label: '剪枝策略' }
        ]
      },
      {
        id: '6-3',
        label: '性能评估',
        children: [
          { id: '6-3-1', label: '混淆矩阵' },
          { id: '6-3-2', label: 'ROC曲线' }
        ]
      }
    ]
  },
  {
    id: '7',
    courseName: '人工智能基础',
    chapterName: '第三章：深度学习入门',
    sectionName: '3.1 神经网络基础',
    children: [
      {
        id: '7-1',
        label: '感知机',
        children: [
          { id: '7-1-1', label: '单层感知机' },
          { id: '7-1-2', label: '多层感知机' }
        ]
      },
      {
        id: '7-2',
        label: '激活函数',
        children: [
          { id: '7-2-1', label: 'Sigmoid' },
          { id: '7-2-2', label: 'ReLU' },
          { id: '7-2-3', label: 'Tanh' }
        ]
      },
      {
        id: '7-3',
        label: '反向传播',
        children: [
          { id: '7-3-1', label: '梯度计算' },
          { id: '7-3-2', label: '权重更新' }
        ]
      }
    ]
  },
  {
    id: '8',
    courseName: '人工智能基础',
    chapterName: '第三章：深度学习入门',
    sectionName: '3.2 卷积神经网络',
    children: [
      {
        id: '8-1',
        label: '卷积层',
        children: [
          { id: '8-1-1', label: '卷积操作' },
          { id: '8-1-2', label: '特征提取' }
        ]
      },
      {
        id: '8-2',
        label: '池化层',
        children: [
          { id: '8-2-1', label: '最大池化' },
          { id: '8-2-2', label: '平均池化' }
        ]
      },
      {
        id: '8-3',
        label: '网络架构',
        children: [
          { id: '8-3-1', label: 'LeNet' },
          { id: '8-3-2', label: 'AlexNet' }
        ]
      }
    ]
  },
  {
    id: '9',
    courseName: '人工智能基础',
    chapterName: '第三章：深度学习入门',
    sectionName: '3.3 深度学习框架',
    children: [
      {
        id: '9-1',
        label: 'TensorFlow',
        children: [
          { id: '9-1-1', label: '基础API' },
          { id: '9-1-2', label: '高级API' }
        ]
      },
      {
        id: '9-2',
        label: 'PyTorch',
        children: [
          { id: '9-2-1', label: '动态图机制' },
          { id: '9-2-2', label: '自动求导' }
        ]
      },
      {
        id: '9-3',
        label: '框架选择',
        children: [
          { id: '9-3-1', label: '性能对比' },
          { id: '9-3-2', label: '应用场景' }
        ]
      }
    ]
  },
  {
    id: '10',
    courseName: '人工智能基础',
    chapterName: '第四章：自然语言处理',
    sectionName: '4.1 文本预处理',
    children: [
      {
        id: '10-1',
        label: '中文处理',
        children: [
          { id: '10-1-1', label: '分词技术' },
          { id: '10-1-2', label: '词性标注' }
        ]
      },
      {
        id: '10-2',
        label: '文本清洗',
        children: [
          { id: '10-2-1', label: '去除噪声' },
          { id: '10-2-2', label: '标准化处理' }
        ]
      },
      {
        id: '10-3',
        label: '特征提取',
        children: [
          { id: '10-3-1', label: '词袋模型' },
          { id: '10-3-2', label: 'TF-IDF' }
        ]
      }
    ]
  },
  {
    id: '11',
    courseName: '人工智能基础',
    chapterName: '第四章：自然语言处理',
    sectionName: '4.2 词向量与语言模型',
    children: [
      {
        id: '11-1',
        label: 'Word2Vec',
        children: [
          { id: '11-1-1', label: 'CBOW模型' },
          { id: '11-1-2', label: 'Skip-gram模型' }
        ]
      },
      {
        id: '11-2',
        label: 'Transformer',
        children: [
          { id: '11-2-1', label: '注意力机制' },
          { id: '11-2-2', label: '编码器-解码器' }
        ]
      },
      {
        id: '11-3',
        label: '预训练模型',
        children: [
          { id: '11-3-1', label: 'BERT' },
          { id: '11-3-2', label: 'GPT系列' }
        ]
      }
    ]
  },
  {
    id: '12',
    courseName: '人工智能基础',
    chapterName: '第五章：计算机视觉',
    sectionName: '5.1 图像处理基础',
    children: [
      {
        id: '12-1',
        label: '数字图像',
        children: [
          { id: '12-1-1', label: '像素表示' },
          { id: '12-1-2', label: '色彩空间' }
        ]
      },
      {
        id: '12-2',
        label: '图像滤波',
        children: [
          { id: '12-2-1', label: '高斯滤波' },
          { id: '12-2-2', label: '中值滤波' }
        ]
      },
      {
        id: '12-3',
        label: '边缘检测',
        children: [
          { id: '12-3-1', label: 'Sobel算子' },
          { id: '12-3-2', label: 'Canny检测' }
        ]
      }
    ]
  },
  {
    id: '13',
    courseName: '人工智能基础',
    chapterName: '第五章：计算机视觉',
    sectionName: '5.2 目标检测与识别',
    children: [
      {
        id: '13-1',
        label: '传统方法',
        children: [
          { id: '13-1-1', label: '特征描述子' },
          { id: '13-1-2', label: '滑动窗口' }
        ]
      },
      {
        id: '13-2',
        label: '深度学习方法',
        children: [
          { id: '13-2-1', label: 'R-CNN系列' },
          { id: '13-2-2', label: 'YOLO算法' }
        ]
      },
      {
        id: '13-3',
        label: '性能评估',
        children: [
          { id: '13-3-1', label: 'mAP指标' },
          { id: '13-3-2', label: 'IoU计算' }
        ]
      }
    ]
  }
]
