计算机专业英语论文.pdf

专业英语 论文 专业英语 论文 课程名称 课程名称 专业英语专业英语 姓名 学号 指导教师 指导教师 评阅成绩 评阅成绩 评阅意见 提交报告时间 年月日 TheThe MachineMachine LearningLearning AndAnd TheThe NeuralNeural NetworkNetwork As 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 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 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 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 mechanism of man to completely solve problems of manchinelearing thesecondisthetheoretical 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 which 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 eleneutaryideologyis to give sstimulation a feedback 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 system s parametertorrently Systemisnotinvolvewithany knowledge about conctete task and to enhence capability by the 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 learning 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 networkisasetofprocessunits nodes jointedby links throughthelink theunitscommunicatewitheach 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 be weakened or strengthened depending upon the link s 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 notes links rules for calculating the input signal activation function and outputsignal function We shouldstartthe characterization of processing neural notes by first indicating thesignificanceofeachunit Inthemachinelearning system signalnodesclearlyrepresentdefined objects features or concepts a processing uni executes a sihplesequenceofoperations receivessignalsfrom 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 hidden from the standpoint of network topology Input units function 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 human sneural networks there are lots units links with each other The most different between human and machineneuralnetworkisthathumannetwoksis 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 ignal transmit may icncrease the activation state of the reeive if the link is excitatory other links may be inhibitory the signal transmitted maythenlowerthereceiver sactivation Inthe networks some units have a function to strengthening the signal and some units weaking it both of these units work 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 error 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 signal will