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1、The Machine Learning And The Neural NetworkAs the technology has a rapidly development ,the artificial intelligence(AI)is accepted greatly by people as the computer is more and more preval.AI is a branch of computer science which concerned with the study and creation of computer system that exhibile
2、 some form of intelligence,system that learn new conceps and tasks,system that can reason and draw useful concluses about the word that we live.AI is used in different realm and different science,especially has a great contribute to the Machine Learning.Learning is a important way for human being to
3、 study knowledge and major notation of nature intelligence.Machine learning is the material way for machine to learn new concepts and tasks,it is also the major notation of machine intelligence ,so machine learning is the core tasks of the research of artificial intelligence,Now,let us begin to have
4、 a acquaintance of yhe machine learning.Mchine learning as the most characteristic of intelligence in and the most sophisticated realm in AI,the search of macjine learning is facus on these three parts,the first is the mimicry of cognition,which research machine leraning base on study dominant mecha
5、nism of man,to completely solve problems of manchine learing ;the second is the theoretical analysis,which major puipose is to search any possible way of study from analysis,and to build a algorithm of learning which is separate from concrete applied realm;the third is the search of task_oritented,w
6、hich main task is to build a study system depend on the specific assignment.As far as I consider,the most weathly search of machine learning is the neural network of machine.the main object of this kinds of self-adapt system and self-orgainization,the eleneutary ideology is to give s stimulation,a f
7、eedback device,and enough freedom to change self-orgainization,then the system will be self-adapt to environment with athe best organization .The best way of research is to change systems parameter torrently.System is not involve with any knowledge about conctete task,and to enhence capability by th
8、e self of system.There are two stage to solve problem base on neural networks,one is practice,the other one is work.The importantly purpose of practice is to have a train of the system to pick up some knowledge and rules in practice and memory it ,and use it to solve problems in work.The neural lear
9、ning is base on neural networks ,it is a key skill in neural learning.Neural networks relate to meruous system construction of main,the researchers investigations is form a foundation on which hypotheses describiny the working of a brain.A neural network is a set of process units(nodes)jointed by li
10、nks,through the link,the units communicate with each other.Each units is charaterised by its activation state which changes in time.From the conuent units activation state a signal it sends into the network is calculated.The signal is carried over the links to other nodes.During transmission it may
11、be weakened or strengthened,depending upon the links characteristics,Signal reaching a unit from its neighbours are combined into an input signal,from which the next activation state of that unit is computed.The neural network definition comprises descriptions of the folling input elements,set of no
12、tes,links,rules for calculating the input signal,activation function,and output signal function.We should start the characterization of processing neural notes,by first indicating the significance of each unit.In the machine learning system ,signal nodes clearly represent defined objects,features,or
13、 concepts a processing uni executes a sihple sequence of operations,receives signals from neighbours,computes its activation state,and sends that state into the networks.Not all units have to have the same characteristics of activation function,input signal.Units are divided into input ,output and h
14、idden from the standpoint of network topology .Input unitsfunction are receive signals directly from the environment in which the neural networks operate.The output unit send the signal outside the neural networks,and hidden units do not communication with the environment directly.As the humans neur
15、al networks,there are lots units links with each other.The most different between human and machine neural network is that human netwoks is divided,they pass message base on fluid in body,but the machine is base on the links,which connec units.A link transmits a signal from one unit to another,the i
16、gnal transmit may icncrease the activation state of the reeive if the link is excitatory,other links may be inhibitory,the signal transmitted may then lower the receivers activation.In the networks,some units have a function to strengthening the signal,and some units weaking it,both of these units w
17、ork tighter to the signal and make it have a balance.The neural learning also can divied into different kinds ddepend on different way.There are learn with a tutor,learn without tutor,strengthen learning and so on,this is divied by the way of learning.To divid neural learning into Hebbian learning,e
18、rror-correction learning,competitive learning and stochastic learning.The rules of Hebbian learning is to change weight of units in neural networks.If one network unit and another units are activity at the same time,then the link weight between the two units will be strengthen ,on the contrary,the s
19、ignal will be wenken.The Hebb learning is a effective rule of neural learing,but some researchers found that the Hebb rules can not work correctly as some change in the environment,some continually stimulation wiil have a contrary conclusion.As the research of neural learning is more and more accept
20、ed by people,the neural network will have a significance to machine learning,people through learn the principle of man learning,and use the principle in machine learing,it will have a more develop of machine learing,so,the research of neural network is important in the realm of machine learning and
21、artificial intelligence.英语谚语警句100句精选Proverbs are the daughters of daily experience.谚语是日常经验的结晶。1. Look before you leap./Second thoughts are best. 三思而后行。/再想而后行。2. Great minds think alike; (heroes have similar views.) 英雄所见略同。 3. We shall never have friends if we expect to find them without fault.欲求完美无缺
22、的朋友必然成为孤家寡人。4. What you sow, you must mow. 种瓜得瓜，种豆得豆。5. A beggar can never be bankrupt.天无绝人之路。6.A friend in need is a friend indeed.患难见真情。7. No news is good news. 没有消息就是好消息。8. No cross, no crown. 不经历风雨,怎么见彩虹。9. The more haste, the less speed. /Haste makes waste.欲速则不达。10. Victory belongs to the most
23、persevering. 坚持就是胜利！11. A young idler, an old beggar. 少壮不努力，老大徒伤悲。12. Put ones foot in ones mouth. 说话不得体。13. It is no use crying over spilt milk.覆水难收/悔恨已晚/木已成舟,回天乏力。14. Content is better than riches. 知足常乐。15. No gains without pains. 没有辛苦就没有收获。16. The more a man knows, the more he is inclined to be m
24、odest. 大智若愚。17. All roads lead to Rome .条条大路通罗马。18. A snow year, a rich year. 瑞雪兆丰年。19. Never say die! 永不言败！20. The best mirror is a friends eye. 朋友的眼睛是最好的镜子。 21. Faith will move mountain. 精诚所至，金石为开。 22. A life without a friend is a life without a sun. 人生没有朋友，犹如生活没有了太阳。 23. Great wits have short mem
25、ories.贵人多忘事。 24. Do well and have well. 善有善报。25. A bad thing never dies. 坏事传千年。26. Four eyes see more than two. 人多识广/集思广益。27. Diligence is the parent of success. 勤劳是成功的根本。28. Water dropping day by day wears the hardest rock away.滴水穿石。29. Hope for the best, but prepare for the worst. 抱最好的愿望，做最坏的打算。 3
26、0. While there is life, there is hope. /Debt is better than death. 留得青山在，不怕没柴烧。/有生命就有希望。31. Where there is a will, there is a way. 功夫不负有心人。/有志者事竟成。32. Where there is great love, there are always miracles. 哪里有真爱存在，哪里就有奇迹。33. Where there is smoke, there is fire. 无风不起浪。34. One boy is a boy, two boys ha
27、lf a boy, three boys no boy.一个和尚挑水喝，两个和尚抬水喝，三个和尚没水喝。35. A stitch in time saves nine. 及时缝一针能省九针。/小洞不补，大洞吃苦。36. Never too old to learn, never too late to turn. 亡羊补牢，为时不晚。37. Dont claim to know what you dont know. 不要不懂装懂。38. Do in Rome as Roman do. 入乡随俗。39. Rome was not built in a day. 冰冻三尺，非一日之寒。40. S
28、harpening your axe will not delay your job of cutting wood. 磨刀不误砍柴工。 41. Things of a kind come together, people a mind fall into a group. 物以类聚,人以群分。 42. One mans meat is another mans poison. 萝卜白菜,各有所爱。43. like author like book.文如其人。46. Like for like. 惺惺相惜。47. Like teacher like pupil. 有其师必有其徒。48. God
29、s that run many hares kill none.贪多必失。49. Practice makes perfect. 熟能生巧。50. Actions speak louder than words. 行胜于言。51. You cannot eat your cake and have it. 鱼与熊掌，不可兼得。52. One loses by pride and gains by modesty. 满招损,谦受益。53. Love me, love my dog. 爱屋及乌。54. An apple a day keeps the doctor away. 每日一苹果远离医生。
30、55. Time past cannot be called back again. 时光不倒流。56. A drop of water cannot make a sea, and a tree cannot make a wood. 滴水不成海，独木不成林。57. If you venture nothing, you will have nothing. 不入虎穴,焉得虎子。58.The tree is known by its fruit. 观其行知其人。59. All work no play makes Jack a dull boy. 只会用功不玩耍,聪明的孩子也变傻。60. T
31、he pot calls the kettle black. 五十步笑百步。61. Unkindness often reacts on the unkind person. 恶有恶报。62. Todays work should never be left over till tomorrow. 今日事今日毕。63. Nothing so bad but might have been worse. 塞翁失马,焉知非福。 64. God helps those who help themselves. 自助者天助。65. Complacency is the enemy of study.
32、学习的敌人是自己的满足。66. A fox may grow gray, but never good.江山易改，本性难移。67. A friend without faults will never be found. 没有十全十美的朋友。68. A good beginning is half done. 良好的开端是成功的一半。69. A good book is the best of friends, the same today and forever. 一本好书，相伴一生。70. A good medicine tastes bitter. 良药苦口。71. A leopard
33、cannot change its spots.积习难改。72. A little knowledge is a dangerous thing. 一知半解，自欺欺人。73. All good things come to an end. 天下没有不散的筵席。74. Justice has long arms. 天网恢恢，疏而不漏。75A man becomes learned by asking questions. 不耻下问才能有学问。76. A man can do no more than he can. 凡事都应量力而行。77. A man cannot spin and reel
34、at the same time. 一心不能二用。78. Diamond cuts diamond. 强中自有强中手。79. Doing is better than saying. 与其挂在嘴上，不如落实在行动上。80. Do it now. 机不可失，时不再来。81. It is the unforeseen that always happens. 天有不测风云，人有旦夕祸福。82. Dont put off till tomorrow what should be done today.今日事，今日毕。83. Do well and have well. 善有善报。84. Easy c
35、ome, easy go. 来也匆匆，去也匆匆。85. Every advantage has its disadvantage.有利必有弊。86. Every day is not Sunday. 好景不常在。87. Every man has his faults. 金无足赤，人无完人。88. Every man has his weak side. 人人都有弱点。89. Every potter praises hit pot. 王婆卖瓜，自卖自夸。90. Experience must be bought. 吃一堑，长一智。91. Far from eye, far from hear
36、t. 眼不见，心不烦。92. First come, first served. 先来后到。93. Judge not from appearances.人不可貌相，海不可斗量。94. Gold will not buy anything.黄金并非万能。95. He laughs best who laughs last.谁笑到最后，谁笑得最好。96. He who makes no mistakes makes nothing. 想不犯错误，就一事无成。97. Learn not and know not. 不学无术。98. It is never too old to learn. 活到老，学到老。 99. It takes three generations to make a gentleman.十年树木，百年树人。100. It is the first step that costs troublesome. 万事开头难。