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人工智能的教材啊
人工智能的教材啊- Artificial intelligence teaching material
- 2022-10-22 04:30:04下载
- 积分：1
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介绍人工神经网络的模型及其应用。张立明编著，复旦大学出版社出版。...
介绍人工神经网络的模型及其应用。张立明编著，复旦大学出版社出版。-Introduction of artificial neural network model and its application. Edited by Zhang Liming, Fudan University Publishing House.
- 2022-03-16 07:36:08下载
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artificial intelligence source
人工智能程序源码-artificial intelligence source
- 2022-03-20 22:52:24下载
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- 2022-07-02 14:05:05下载
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该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本。...
该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本。-The program implements a simple fuzzy ARTMAP neural network algorithm. SFAM is a neural network classifier, which is simple and fast version of fuzzy ARTMAP.
- 2023-01-09 23:40:03下载
- 积分：1
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《游戏编程中的人工智能技术》一书中6，7章源代码
《游戏编程中的人工智能技术》一书中6，7章源代码- Game programming in artificial intelligence technology, one source book, Chapter 6,7
- 2022-03-23 21:48:39下载
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堆排序适合于待排序文件中记录较多的情况，因为其主要的时间开销在于建堆和调整堆...
堆排序适合于待排序文件中记录较多的情况，因为其主要的时间开销在于建堆和调整堆-HEAPSORT be suitable for sorting paper records more, because the main overhead is the time to build reactors and adjusting the heap
- 2022-08-15 16:06:56下载
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LIBSVM是一个简单的，容易的
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This document explains the use of libsvm.
- 2022-11-21 20:50:03下载
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利用遗传算法编写的恐龙路径优化走法！可以根据自己的要求改变恐龙的路径...
利用遗传算法编写的恐龙路径优化走法！可以根据自己的要求改变恐龙的路径-The use of genetic algorithm to optimize the preparation of the dinosaurs walk the path of law! Requirements can change according to their own path of dinosaurs
- 2023-03-01 12:05:04下载
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Statistical learning theory is based on a more solid theoretical basis, in order...
统计学习理论是建立在一套较坚实的理论基础之上的，为解决有限样本学习问题提供了
一个统一的框架。它能将很多现有方法纳入其中，有望帮助解决许多原来难以解决的问题（比
如神经网络结构及参数选择问题）；同时。在这一理论基础上发展了一种新的通用学习方法：
支持向量机（Support Vector Machine，SVM）。它己表现出很多优秀的性能，并已经成为当
今机器学习领域的研究热点。-Statistical learning theory is based on a more solid theoretical basis, in order to solve the learning problems of limited samples provides a unified framework. It will be incorporated into many existing methods, which could help solve many of the original difficult to resolve problems (such as neural network structure and parameters selection) the same time. Developed on the basis of this theory, a new universal learning methods: support vector machine (Support Vector Machine, SVM). It has been shown a lot of excellent performance and has become the hotspot of machine learning research in the field.
- 2022-03-02 21:50:04下载
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