Description: 多阶段决策过程（ multistep decision process ）是指 这样一类特殊的活动过程，过程可以按时间顺序分解成若干个相互联系的阶段，在每一个阶段都需要做出决策，全部过程的决策是一个决策序列。 动态规划 （ dynamic programming ）算法 是解决 多阶段决策过程最优化问题 的一种常用方法，难度比较大，技巧性也很强。利用动态规划算法，可以优雅而高效地解决很多贪婪算法或分治算法不能解决的问题。动态规划算法的基本思想是：将待求解的问题分解成若干个相互联系的子问题，先求解子问题，然后从这些子问题的解得到原问题的解； 对于重复出现的子问题，只在第一次遇到的时候对它进行求解，并把答案保存起来，让以后再次遇到时直接引用答案，不必重新求解 。动态规划算法将问题的解决方案视为一系列决策的结果，与贪婪算法不同的是，在贪婪算法中，每采用一次贪婪准则，便做出一个不可撤回的决策；而在动态规划算法中，还要考察每个最优决策序列中是否包含一个最优决策子序列，即问题是否具有最优子结构性质。
-multi-stage decision-making process (multistep decision process) is that like a special kind of process, the process can be time-sequence decomposed into a number of interrelated stage, in every stage of a need to make a decision, all of the decision-making process is a sequence of decision-making. Dynamic Programming (dynamic programming) algorithm is a multi-stage decision-making process optimization asked that's a common method was more difficult, skills also have a strong character. Using dynamic programming algorithm can be elegant and efficient solution for many greedy algorithm or partition algorithm to solve the problem. Dynamic programming algorithm is the basic idea : to be solving the problem is decomposed into a number of interrelated issues son, Solving the problem first s Platform: |
Size: 3072 |
Author:汤烈 |
Hits:
Description: 提出了一种基于支持向量机的多类模拟调制方式识别算法。该算法通过分析模拟调制信号的特点，提取有效的特征向量以区分不同的调制方式，并基于支持向量机和判决树分类思想，将特征向量映射到高维空间中加以分类。-A support vector machine based on the many types of analog modulation recognition algorithm. The algorithm by analyzing the characteristics of analog modulation signal to extract effective feature vector in order to distinguish between different modulation methods, and based on support vector machines and decision tree classification of ideas, will feature vector is mapped to the high-dimensional space to be classified. Platform: |
Size: 224256 |
Author:zhaoxiufen |
Hits:
Description: 通过多目标优化算法计算了多决策的全局最优值。而且包含解码程序。-Through multi-objective optimization algorithm for calculating a number of global optimal values of decision-making. And decoding procedures contain. Platform: |
Size: 1024 |
Author:刘洋 |
Hits:
Description: 语言型多属性群决策算法的程序设计与实现.目前，语言型多属性群决策问题的理论和应用研究受到了人们的广泛关注。但到目前为止，对语言型多属性群决策算法的研究还集中在理论方面，缺乏实际成型、有效的应用软件。本设计基于语言评估标度将多属性群决策方法程序化，由此可以方便的对决策对象做出综合判断得到这些对象的综合评价值及其排序结果，从而帮助人们更有效、更快捷地对决策对象做出合理的决策，具有广泛的应用前景。-Programming language multi-attribute group decision-making algorithm. At present, the language of multi-attribute group decision making theory and applied research has been extensive attention. But so far, the study of the language of multi-attribute group decision-making algorithm is also focused on the theoretical side, the lack of actual shape, the effective application software. The design is based on language assessment scale multi-attribute group decision-making procedures, which can facilitate the decision making objects make a comprehensive judgment of the value of comprehensive evaluation of these objects and their sequencing results, to help people more effectively, more quickly decision-making objects make a reasonable decision-making, has broad application prospects. Platform: |
Size: 3619840 |
Author:aasWED |
Hits:
Search - Multi-Attribute Decision Algorithm