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北京大学信息科学技术学院信息中心开设的计算智能课程,主要是人工神经网络的讲义_1-Beijing University College of Information Science and Technology Information Center has offered courses Computational Intelligence, mainly artificial neural network overhead compression
Date : Size : 1.04mb User : pangjiufeng

This chapter introduces a new computational intelligence paradigm to perform pattern recognition, named Artificial Immune Systems (AIS). AIS take inspiration from the immune system in order to build novel computational tools to solve problems in a vast range of domain areas. The basic immune theories used to explain how the immune system perform pattern recognition are described and their corresponding computational models are presented. This is followed with a survey from the literature of AIS applied to pattern recognition. The chapter is concluded with a trade-off between AIS and artificial neural networks as pattern recognition paradigms.
Date : Size : 209kb User : namareq

A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organize. An ant colony, a flock of birds or an immune system is a typical example of a swarm system. Bees’ swarming around their hive is another.
Date : Size : 1.23mb User : gyan deori

破碎文件的拼接在司法物证复原、历史文献修复以及军事情报获取等领域都有着重要的应用.传统上,拼接复原工作需由人工完成,准确率较高,但效率很低.特别是当碎片数量巨大,人工拼接很难在短时间内完成任务.随着计算机技术的发展,人们试图开发碎纸片的自动拼接技术,以提高拼接复原效率.-Splicing broken file evidence in judicial recovery, restoration and historical documents to obtain military intelligence and other fields have important applications. Traditionally, mosaic restoration work must be completed by the artificial, high accuracy rate, but low efficiency, especially when the number of fragments huge, artificial mosaic difficult to complete tasks in a short period of time. With the development of computer technology, people are trying to develop automatic stitching scraps of paper, in order to improve the recovery efficiency of splicing.
Date : Size : 1.94mb User : 陈香

Paper for lrm updated
Date : Size : 133kb User : angadi

游戏编程中的人工智能技术 游戏编程中的人工智能技术(Artificial intelligence technology in game programming)
Date : Size : 10.86mb User : 浮萍120357472

作为类脑计算领域的一个重要研究成果,深度卷积神经网络已经广泛应用到计算机视觉、自然语言处理、信息检索、语音识别、语义理解等多个领域,在工业界和学术界掀起了神经网络研究的浪潮,促进了人工智能的发展。卷积神经网络直接以原始数据作为输入,从大量训练数据中自动学习特征的表示。(As the important research achievement, deep convolutional neural networks have been widely applied to various fields such as computer vision, natural language processing, information retrieval, speech recognition, semantic understanding, and have attracted a wave of neural networks research from both academia and industry and have contributed to the development of artificial intelligence.)
Date : Size : 2.19mb User : 昵称已被占用

中国人工智能系列白皮书2017-智能驾驶-机器博弈-智能交通(Chinese artificial intelligence series white paper 2017- intelligent driving machine game Intelligent Transportation)
Date : Size : 6.04mb User : 游戏杀手

用于刚刚学习人工智能算法,神经网络的初级学者,有助于了解(A junior scholar who has just learned artificial intelligence algorithms, neural networks, helps to understand)
Date : Size : 5.5mb User : robot12

DL : 0
非常不错的人工智能行业报告38,对于找工作和创业的同学是非常好的参考资料。(A very good artificial intelligence industry report is a very good reference for the students who are looking for a job and a business.)
Date : Size : 835kb User : gxm1456

TensorFlow是谷歌基于DistBelief进行研发的第二代人工智能学习系统,其命名来源于本身的运行原理。Tensor(张量)意味着N维数组,Flow(流)意味着基于数据流图的计算,TensorFlow为张量从流图的一端流动到另一端计算过程。TensorFlow是将复杂的数据结构传输至人工智能神经网中进行分析和处理过程的系统。(TensorFlow is the second generation of artificial intelligence learning system developed by Google based on DistBelief, whose name comes from its own operating principles. Tensor (Zhang Liang) means N dimension array. Flow (flow) means computation based on data flow graph. TensorFlow flows for Zhang Liang from one end of flow graph to the other end. TensorFlow is a system that transmissions complex data structures into artificial neural networks for analysis and processing.)
Date : Size : 29kb User : aabbcc1111

在这本书中,我们探索了一种从交互中学习的计算方法。我们不直接对人或动物如何学习进行理论分析,而是探索理想化的学习情境,评估各种学习方法的效率。也就是说,我们采用人工智能研究人员或工程师的角度。我们探索去设计在这些方面上格外有效率的机器,他能够解决科学或经济学领域的问题。通过数据分析和计算实验来评估这些设计。我们将这种方法称为强化学习,更侧重于目标导向的交互学习,而不是其他方法。(In this book, we explored a computational method of learning from interaction. We do not directly analyze how people or animals learn, but explore idealized learning situations and evaluate the efficiency of various learning methods. That is to say, we adopt the angle of artificial intelligence researchers or engineers. We are exploring ways to design machines that are exceptionally efficient in these areas and that can solve problems in science or economics. These designs are evaluated through data analysis and computational experiments. We call this method reinforcement learning, which focuses more on goal-oriented interactive learning than other methods.)
Date : Size : 8.27mb User : Gjessing

很有借鉴价值的跨域故障诊断参考论文,数据学习,人工智能(Reference Papers on Cross-domain Fault Diagnosis, Data Learning, Artificial Intelligence)
Date : Size : 3.16mb User : 陈曦晖

华泰证券人工智能系列研报 1-36 ,金融工程机器学习入门(Huatai Securities artificial intelligence series 1-36, introduction to financial engineering machine learning)
Date : Size : 71.29mb User : CSTK
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