Altium Designer 6 Training for FPGA,Software andSystemsDevelopmentEmbedded INTelligence Training
標(biāo)簽： Designer Training Altium FPGA
上傳時(shí)間： 2013-09-13
上傳用戶：回電話#
為解決我國(guó)水位監(jiān)測(cè)野外條件下長(zhǎng)期無(wú)人看守的問(wèn)題，研制開(kāi)發(fā)了基于MSP430單片機(jī)的智能水位計(jì)。從其組成到各功能分別進(jìn)行了詳細(xì)的介紹，該智能水位計(jì)不僅實(shí)現(xiàn)了水位數(shù)據(jù)的實(shí)時(shí)監(jiān)測(cè)、記錄和定期采集等多種工作模式，而且提高了水位監(jiān)測(cè)精度，實(shí)現(xiàn)了水位監(jiān)測(cè)的智能化。 Abstract: In order to solve the problems of long-term unmanned observation in the field water monitoring，an INTelligence water-level meter based on MSP430 is developed composition and every function moduce of the water level meter was introduced in detail. It not only realizes water level data collection and storage， regularly gathering and so on， but also improves the water-level precision ， finally realizes the INTelligence.
標(biāo)簽： MSP 430 單片機(jī) 水位計(jì)
上傳時(shí)間： 2013-11-17
上傳用戶：417313137
This a wonderful reference on the In s and Out s of using Global JavaScript Variables within Brio INTelligence BQY s. 這是一個(gè)關(guān)于 Brio INTelligence BQY中使用全局 JavaScript 變量進(jìn)行輸入輸出的好參考
標(biāo)簽： JavaScript wonderful reference Variables
上傳時(shí)間： 2013-12-20
上傳用戶：thuyenvinh
Tic Tac Toe程序。可以供一到兩個(gè)玩家使用。程序中使用了visual basic 計(jì)時(shí)器，所以每一個(gè)步驟都有時(shí)間限制。此外，計(jì)算機(jī)可是一個(gè)有簡(jiǎn)單智能的對(duì)手，他不但不會(huì)隨便出手，反而還要竭力贏了你才罷休。 Tic Tac Toe program. One or two players. It uses the visual basic timer, so each move has time limit. Simple artificial INTelligence: computer does not play randomly, but "tries" to win and stop you from winning.
標(biāo)簽： visual basic Tic Tac
上傳時(shí)間： 2015-04-11
上傳用戶：sxdtlqqjl
- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational INTelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.
標(biāo)簽： Environments multiplexer Continuous XCS
上傳時(shí)間： 2015-07-04
上傳用戶：Avoid98
encode.v The encoder syndrome.v Syndrome generator in decoder berlekamp.v Berlekamp algorithm in decoder chien-search.v Chien search and Forney algorithm in decoder decode.v The top module of the decoder inverse.v Computes multiplication inverse of an Galois field element test-bench.v The test fixture, and some brief notes on using the modules. data-rom.v A simple data source for testing run For those INTelligence-challenged who can t run verilog LGPL The license
標(biāo)簽： Berlekamp berlekamp algorithm generator
上傳時(shí)間： 2014-02-16
上傳用戶：fxf126@126.com
a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial INTelligence, machine learning, and data mining applications.
標(biāo)簽： Classifiers Implemented Bayesian applying
上傳時(shí)間： 2015-09-11
上傳用戶：ommshaggar
Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial INTelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.
標(biāo)簽： Introduction Classifiers Algorithms introduces
上傳時(shí)間： 2015-10-20
上傳用戶：aeiouetla
《多傳感器數(shù)據(jù)融合手冊(cè)》 《Handbook of Multisensor Data Fusion》 作者: David L. Hall 定價(jià): USD 199.95 出版社: CRC 出版年: 2001-06-20 簡(jiǎn)介 · · · · · · Multisensor data fusion is an emerging technology with important applications in both the military and civilian sectors, such as target recognition, robotics, medical diagnostics, and "smart" buildings. It draws on techniques from wide-ranging disciplines, including artificial INTelligence, pattern recognition, and statistical estimation. This handbook is an up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the field lead readers from a basic introduction and survey of data fusion technology to advanced mathematics and theory and to some very practical advice for systems implementers.
標(biāo)簽： L. Multisensor Handbook 199.95
上傳時(shí)間： 2014-02-06
上傳用戶：二驅(qū)蚊器
A salient-boundary extraction software package based on the paper: S. Wang, T. Kubota, J. M. Siskind, J. Wang. Salient Closed Boundary Extraction with Ratio Contour, IEEE Transactions on Pattern Analysis and Machine INTelligence, 27(4):546-561, 2005
上傳時(shí)間： 2014-01-23
上傳用戶：gonuiln
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