ivanwhaf / genetic-carLinks
🚗自动驾驶AI小车,基于遗传算法优化神经网络 Auto driving AI-Car, based on Genetic Algorithm.
☆12Updated 4 years ago
Alternatives and similar repositories for genetic-car
Users that are interested in genetic-car are comparing it to the libraries listed below
Sorting:
- 智能优化算法☆28Updated 6 years ago
- 遗传算法优化卷积神经网络(人脸识别分类)☆13Updated 6 years ago
- 使用粒子群优化算法来解决01背包问题的可视化代码☆14Updated 5 years ago
- 遗传算法路径规划及仿真☆53Updated 6 years ago
- 通过遗传算法求解物流配送路径问题☆180Updated 8 years ago
- Double DQN Pytorch☆19Updated 3 years ago
- 基于深度学习的共享单车预测与调度解决方案,使用神经网络构建单车需求量与时间段和地理画像的关联,预测不同区域单车需求量;使用蚁群算法规划最优单车调度路径。☆104Updated 6 years ago
- MATLAB公选课论文代 码,基于matlab分别使用了模拟退火算法和蚁群算法解决TSP问题☆34Updated 6 years ago
- 智能优化算法的python手动实现,注释详细☆20Updated 3 years ago
- 随着移动云计算和边缘计算的快速发展,以及人工智能的广泛应用,产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中,但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速…☆297Updated 3 years ago
- 研究生作业 人工智能作业: knn算法、sklearn库实现全连接网络、纯numpy实现全连接网络 高级程序设计作业: 广义tsp问题 (模拟退火、禁忌搜索、遗传算法、蚁群算法)☆13Updated 4 years ago
- 边缘计算技术+云平台展示,实现公共地点人流量监控☆13Updated 4 years ago
- Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.☆121Updated 4 years ago
- 关于视频流行度预测算法和缓存算法☆14Updated 6 years ago
- 粒子群优化算法☆259Updated 8 years ago
- 北京化工大学本科毕业设计《基于深度强化学习的云工作流调度》☆62Updated 3 years ago
- 在matlab上使用遗传算法解决TSP旅行者问题☆71Updated 8 years ago
- 强化学习在边缘计算的应用☆22Updated 6 years ago
- 使用四种基本启发式算法(模拟退火、禁忌搜索、遗传算法与蚁群算法)求解广义旅行商(广义TSP/GTSP)问题。☆64Updated 2 years ago
- 实现对某个路段一段时间内的车辆流量预测☆19Updated 6 years ago
- This is a python version about "https://github.com/Yuanliaoo/CG_satellite"☆33Updated 6 months ago
- 群体智能优化算法☆106Updated 3 years ago
- 基于卡口实时过车数据进行交通流量的实时预测分析,使用LSTM循环神经网络模型进行融合预测,准确率达到90%以上。☆58Updated 5 years ago
- Digi-Metal / Reinforce-learning-based-algorithm-for-dynamic-scheduling-problem-in-steelmaking-workshop基于强化学习的炼钢动态调度求解技术和软件实现☆21Updated 5 years ago
- 毕设文章以及文中的MATLAB,以及那段时间帮同学们写的MATLAB编码。元胞自动机(Cellular Automata),遗传算法(Genetic Algorithm)。⬅↖⬆↗➡↘⬇↙↪↩🔄🧡💛💙💚💜🖤💕💞💖💝💥☆42Updated 5 years ago
- Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch☆306Updated 5 years ago
- The algorithm shows how the sensed data from the sensor nodes is being routed to the sink efficiently.The energy of the sensor nodes is v…☆21Updated 7 years ago
- ☆16Updated 3 years ago
- 基于深度强化学习的资源调度研究☆89Updated 7 years ago
- shouyuantianxia / Algorithmic-Game-Theory-Application-on-Multi-agent-Combat-and-Verification-Platform-Design本科毕业设计:《多智能体博弈兵棋推演理论与验证平台设计》的源代码附录内容。强化学习算法的实现上参考了周沫凡先生的开源代码https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow☆58Updated 5 years ago