LEADER 01233nam0-22003491i-450- 001 990001359350403321 005 20061117131519.0 010 $a3-89685-554-9 035 $a000135935 035 $aFED01000135935 035 $a(Aleph)000135935FED01 035 $a000135935 100 $a20001205d1997----km-y0itay50------ba 101 0 $aeng 200 1 $a15th IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics$eProceedings Berlin, August 1997$fEdited by Achim Sydow in cooperation with R.-P. Schafer, W. Rufeger, H. Lehmann 210 $aBerlin$cWissenschaften & Technik Verlag$d1997 215 $axii, 799 p.$d24 cm 300 $aVol. 4: Artificial Intelligence and Computer Science 610 0 $aTeoria della programmazione e utilizzazione dei computers 610 0 $aSoftware 676 $a510.78 700 1$aSydow,$bAchim$061416 702 1$aLehmann,$bHeiko 702 1$aRufeger,$bWaltraud 702 1$aSchäfer,$bRalf-Peter 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001359350403321 952 $a8B-331$fFI1 959 $aFI1 996 $a15th IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics$9375262 997 $aUNINA LEADER 01460nam0 2200313 i 450 001 SUN0065597 005 20180712105955.985 010 $a978-35-407-5872-3$d0.00 100 $a20080919d2008 |0engc50 ba 101 $aeng 102 $aDE 105 $a|||| ||||| 200 1 $a*Stochastic calculus for fractional Brownian motion and related processes$fYuliya S. Mishura 205 $aBerlin : Springer, 2008 210 $aXVII$d393 p. ; 24 cm 215 $aPubblicazione in formato elettronico 461 1$1001SUN0102250$12001 $a*Lecture notes in mathematics$v1929$1210 $aBerlin [etc.]$cSpringer$d1964-$1215 $aDal 2011 i volumi sono disponibili in formato elettronico. 606 $a60Hxx$xStochastic analysis [MSC 2020]$2MF$3SUNC019765 606 $a60Gxx$xStochastic processes [MSC 2020]$2MF$3SUNC020000 620 $dBerlin$3SUNL000066 700 1$aMishura$b, Yuliya S.$3SUNV052172$0313976 712 $aSpringer$3SUNV000178$4650 801 $aIT$bSOL$c20200921$gRICA 856 4 $uhttps://link.springer.com/book/10.1007/978-3-540-75873-0 856 4 $uhttps://link.springer.com/content/pdf/10.1007%2F978-3-540-75873-0.pdf 912 $aSUN0065597 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST 60-XX 2805 $e08 8192 I 20081201 996 $aStochastic calculus for fractional Brownian motion and related processes$9230627 997 $aUNICAMPANIA LEADER 03317nam 22005535 450 001 9910254569203321 005 20200629154306.0 010 $a1-4842-2743-3 024 7 $a10.1007/978-1-4842-2743-5 035 $a(CKB)3710000001417658 035 $a(MiAaPQ)EBC4872960 035 $a(DE-He213)978-1-4842-2743-5 035 $a(CaSebORM)9781484227435 035 $a(PPN)202994147 035 $a(EXLCZ)993710000001417658 100 $a20170605d2017 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBeginning Artificial Intelligence with the Raspberry Pi /$fby Donald J. Norris 205 $a1st ed. 2017. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2017. 215 $a1 online resource (369 pages) $cillustrations 225 1 $aTechnology In Action 300 $aIncludes index. 311 08$a1-4842-2742-5 327 $aChapter 1:   Introduction to Artificial Intelligence (AI) -- Chapter 2:  Basic AI Concepts -- Chapter 3:  Expert System Demonstrations -- Chapter 4:  Games -- Chapter 5:  Fuzzy Logic Systems -- Chapter 6:  Machine Learning -- Chapter 7:  Machine Learning - Artificial Neural Networks -- Chapter 8:  Machine Learning - Deep Learning -- Chapter 9:  Machine learning - Practical ANN Demonstration  -- Chapter 10: Evolutionary Computing -- Chapter 11: Behavior-Based Robotics -- Appendix A: Build Instructions for the Alfie Robot Car. 330 $aGain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action will be demonstrated using the Python language on the Raspberry Pi.  The Prolog language will also be introduced and used to demonstrate fundamental AI concepts.  In addition, the Wolfram language will be used as part of the deep machine learning demonstrations. A series of projects will walk you through how to implement AI concepts with the Raspberry Pi. Minimal expense is needed for the projects as only a few sensors and actuators will be required. 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