％For the following 2-class problem determine the decision boundaries ％obtained by LMS and perceptron learning laws.
標(biāo)簽： boundaries the following determine
上傳時(shí)間： 2016-11-26
上傳用戶：guanliya
BP neural network for time series analysis predicted that by entering the corresponding time-series data to predict the future, suitable for beginners on the BP neural network learning
標(biāo)簽： corresponding time-series predicted analysis
上傳時(shí)間： 2016-11-27
上傳用戶：cjl42111
The library is a C++/Python implementation of the variational building block framework introduced in our papers. The framework allows easy learning of a wide variety of models using variational Bayesian learning
標(biāo)簽： implementation variational introduced framework
上傳時(shí)間： 2016-12-16
上傳用戶：eclipse
* Lightweight backpropagation neural network. * This a lightweight library implementating a neural network for use * in C and C++ programs. It is intended for use in applications that * just happen to need a simply neural network and do not want to use * needlessly complex neural network libraries. It features multilayer * feedforward perceptron neural networks, sigmoidal activation function * with bias, backpropagation training with settable learning rate and * momentum, and backpropagation training in batches.
標(biāo)簽： backpropagation implementating Lightweight lightweight
上傳時(shí)間： 2013-12-27
上傳用戶：清風(fēng)冷雨
本人大二學(xué)習(xí)匯編語(yǔ)言程序設(shè)計(jì)時(shí)的全部源代碼，均已經(jīng)編譯通過(guò)生成可執(zhí)行文件，每個(gè)目錄是一個(gè)程序。希望對(duì)學(xué)習(xí)匯編語(yǔ)言的同志有所幫助。-my sophomore year learning assembly language programming at all the source code, have already generated by compiler executable files, each directory is a process. Want to learn assembly language comrades help.
標(biāo)簽： 匯編語(yǔ)言 程序設(shè)計(jì) 源代碼
上傳時(shí)間： 2013-12-17
上傳用戶：zmy123
We address the problem of predicting a word from previous words in a sample of text. In particular, we discuss n-gram models based on classes of words. We also discuss several statistical algorithms for assigning words to classes based on the frequency of their co-occurrence with other words. We find that we are able to extract classes that have the flavor of either syntactically based groupings or semantically based groupings, depending on the nature of the underlying statistics.
標(biāo)簽： predicting particular previous address
上傳時(shí)間： 2016-12-26
上傳用戶：xfbs821
Video object matching across multiple independent views using local descriptors and adaptive learning文章描述了多攝像機(jī)系統(tǒng)下的目標(biāo)檢測(cè)與跟蹤，和自學(xué)習(xí)方法。很有參考價(jià)值。
標(biāo)簽： independent descriptors matching adaptive
上傳時(shí)間： 2014-01-18
上傳用戶：chongcongying
Overview If you have been wanting to learn Java, check out the newly revised fourth edition of the best-seller Sams Teach Yourself Programming with Java in 24 Hours. This step-by-step tutorial will teach you how to create simple Java programs and applets. Comprised of 24 one-hour lessons, this new edition focuses on key programming concepts and essential Java basics, has been improved by dozens of reader comments, and is reorganized to better cover the latest developments in Java. The book s coverage of core Java programming topics has also been expanded. A great starting point for learning Java, this book is also a great primer to reading sams Teach Yourself Java in 21 Days.
標(biāo)簽： the Overview edition wanting
上傳時(shí)間： 2017-01-10
上傳用戶：huyiming139
The scope of this SCM simulator is to provide an easy-to-use, GUI supported, MATLAB developed application to any user who requires a practical tool to perform MIMO simulations and to obtain statistical data.
標(biāo)簽： easy-to-use developed simulator supported
上傳時(shí)間： 2014-09-03
上傳用戶：jhksyghr
normal template for acm/ICPC，including geometry,grapf theory,number theory and so on
標(biāo)簽： template normal ICPC for
上傳時(shí)間： 2014-12-08
上傳用戶：270189020
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