资源列表
joone-ext
- Java Object Oriented Neural Engine是一个用Java写的神经网络框架。它由一个核心引擎，一个GUI编辑器和一个分布式训练环境组成。可以通过写新的模块来扩展它，以实现新的算法或始于基础组件的新的体系结构。-Java Object Oriented Neural Engine is a Java was the neural network framework. It consists of a core engine, a GUI editor and a comp
ImmuneAlgorithm
- 基于免疫遗传算法的函数优化,采用C++编程，对于初学智能计算的同学有一定的借鉴作用。-Function based on immune genetic algorithm optimization using C++ programming reference for beginner smart students.
NeuralNetworks
- 关于神经网络的内容，人工神经网络，反馈神经网络等。
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- 人工智能行业报告14，可以非常清楚的了解行业发展情况，做出最好的判断。(The report of the artificial intelligence industry can make a clear understanding of the development of the industry and make the best judgment.)
ChineseChess
- 用c++ 开发的中国象棋，其中有网络版和单机版 ，但由于水平有下限，单机版做得很差，电脑智商较低，党调整到很难实几分钟 电脑才能走一步。其中参考了Pc gameing这本书，这本书讲得真好。-with the development of the Chinese chess, which is the network version and the single version, but a lower level. has done a poor job of a single compute
Application-RBF-and-GA-based-optimization-control
- RBF optimization with genetic algorithm(ARTICLE5)
清洁机器人全覆盖路径规划研究
- 一篇关于清洁机器人路径全局覆盖的硕士论文，对于研究扫地机的人学习有帮助！(A master's thesis on the overall coverage of the clean robot path is helpful to the study of the sweeps.)
jhsf
- 本书论述深入浅出，从简单的实力介绍没中算法的原理，然后深入讨论他们的基本理论及应用技术，图文并茂，便于自学；包括，遗传算法，遗传规则，进化策略，金花规则4中算法，本书分别介绍他们的基本知识，基本理论及实施技术，全书共分5涨，跟别为绪论，遗传算法，遗传规划，进化策略，进化规划-This book discusses in simple terms, the strength of introduction from a simple principle of the algorithm is no
The_Speed-Regulation_System_Of_BLDC_With_Neural_Ne
- BLDC建模及神经网络控制，建模讲述的很详细，难得的论文。-BLDC modeling and neural network control, modeling, described in great detail, rare papers.
SchedulingSystem
- 可用于大学的遗传算法实现排课系统！用遗传算法能达到最好的效果-Can be used for the genetic algorithm University Course Scheduling System! Using genetic algorithms to achieve their best effect
simple_face_detection
- 一個基於色彩與形狀之簡易的人臉偵測演算法, 開發環境為C++ Builder 6.0, 附上pdf說明檔-A simple face detection algorithm base on shape and color, application framework is C++ Builder 6.0.
Adaboost
- 几篇关于人脸检测和识别方面的文章 基于adaboost方法-A few on the face detection and identification methods Based on the adaboost