- IT服务能力成熟度模型问卷
- worden 计算机组成与结构的课程设计 一个简单的微机系统的设计与实现
- BitmapToRegion creates region from bitmap
- Oracle-9i-Database-Administration-Fundamental-2.r Tuning and Optimizing Red Hat Enterprise Linux (RHEL) for Oracle 9i and 10g Databases
- LOTERRY lottery game made from c 3 colors for identification
- kuvnssgj BP神经网络用于函数拟合与模式识别
资源列表
chapter3
- Matlab在数学建模中的应用（第二版）_卓金武等源程序(The application of Matlab in mathematical modeling (Second Edition) _ Zhuo Jinwu source program)
chapter4
- Matlab在数学建模中的应用（第二版）_卓金武等源程序第4章(The application of Matlab in mathematical modeling (Second Edition) _ Zhuo Jinwu etc. the fourth chapter source program)
chapter5
- Matlab在数学建模中的应用（第二版）_卓金武等源程序第5章(The application of Matlab in mathematical modeling (Second Edition) _ Zhuo Jinwu etc. the fifth chapter source program)
power_turbine
- 励磁同步电机仿真模型，可以应用于电网系统(The simulation model of excitation synchronous motor can be applied to the power grid system)
ProgramingtheFiniteElementMethodwithMatlab
- 1.有限元基本原理及matlab数据结构介绍； 2.基于matlab的有限元编程(The realization of finite element programming with MATLAB)
qianghuazhi3
- 讲解强化学习之3，通过强化学习之3的实例，更加理解强化学习的原理(To explain the 3 of intensive learning and to understand the principle of intensive learning by strengthening the 3 examples of learning)
qianghuazhi5
- 强化学习之5讲解强化学习的工作原理，通过编程实现(Strengthening the 5 explanation of the working principle of intensive learning by programming)
胶30模型
- 期货 胶30 方向盘日内模型 组合测试报告(Glue 30 model Plug-in function descr iption)
qianguazhi6
- jiangjie强化学习的原理，通过仿真更能理解什么是强化学习(Jiangjie the principle of strengthening learning, through simulation, more understanding of what is intensive learning)
qianghuazhi7
- 强化学习是机器学习中的一类，通过本实例讲解怎样运用强化(Reinforcement learning is a kind of machine learning. It explains how to use strengthening through this example.)
qianghuazhi8
- 强化学习比较抽象，要想理解强化学习，必须通过实例才能理解(Intensive learning is more abstract. In order to understand intensive learning, it must be understood through an example.)
GA多目标约束问题
- 遗传算法主要用于多目标约束问题中，非常简单(GA is a method of searching for the optimal solution by simulating the natural evolutionary process. It is often used in CRN resource optimization. GA starts with a popu-lation that represents a potential set of solutions to a p