Basicaly,a chatterbot is a computer program that when you provide it with some inputs in Natural Language (English, French ...) responds with something meaningful in that same language. Which means that the strength of a chatterbot could be directly measured by the quality of the output selected by the Bot in response to the user. By the previous description,we could deduce that a very basic chatterbot can be written in a few lines of code in a given specific programming language. Lets make our first chatterbot (notice that all the codes that will be used in this tutorial will be written in C++. Also, it is assumed that the reader is familiar wih the STL library)
标签： chatterbot Basicaly computer Natural
上传时间： 2017-07-30
上传用户：小宝爱考拉
ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, simpler network structures and faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.
标签： introduced literature Broomhead Function
上传时间： 2017-08-08
上传用户：lingzhichao
Computing and the way people use C for doing it keeps changing as years go by. So overwhelming has been the response to all the previous editions of “Let Us C” that I have now decided that each year I would come up with a new edition of it so that I can keep the readers abreast with the way C is being used at that point in time.
标签： overwhelming Computing changing people
上传时间： 2013-12-22
上传用户：epson850
Stanford的SRB实验室Quantitative Seismic Interpretation的免费MATLAB程序，可以计算AVO response, rock property, Gassmann s equation, fluid property, Elastic impedance等，非常实用和方便
标签： Interpretation Quantitative Stanford Seismic
上传时间： 2017-09-07
上传用户：wweqas
Commercially available active noise control headphones rely on fixed analog controllers to drive "anti-noise" loudspeakers. Our design uses an adaptive controller to optimally cancel unwanted acoustic noise. This headphone would be particularly useful for workers who operate or work near heavy machinery and engines because the noise is selectively eliminated. Desired sounds, such as speech and warning signals, are left to be heard clearly. The adaptive control algorithm is implemented on a Texas Instruments (TI™ ) 1 TMS320C30GEL digital signal processor (DSP), which drives a Sony CD550 headphone/microphone system. Our experiments indicate that adaptive noise control results in a dramatic improvement in performance over fixed noise control. This improvement is due to the availability of high-performance programmable DSPs and the self-optimizing and tracking capabilities of the adaptive controller in response to the surrounding noise.
标签： Commercially controllers headphones available
上传时间： 2013-12-04
上传用户：dyctj
本书是英文版，但内容非常不错，本书目录如下： Table of Contents SIP—Understanding the Session Initiation Protocol, Second Edition Foreword to the First Edition Preface to - the Second Edition Preface to - the First Edition Chapter 1 - SIP and the Internet Chapter 2 - Introduction to SIP Chapter 3 - SIP Clients and Servers Chapter 4 - SIP Request Messages Chapter 5 - SIP response Messages Chapter 6 - SIP Header Fields Chapter 7 - Related Protocols Chapter 8 - Comparison to H.323 Chapter 9 - Wireless and 3GPP Chapter 10 - Call Flow Examples Chapter 11 - Future Directions Appendix A - Changes in the SIP Specification from RFC 2543 to RFC 3261
标签： 英文
上传时间： 2014-01-06
上传用户：爺的气质
This matlab program compares the results of different window design methods for finite impulse response filters (FIRs): the rectangular window, Blackman window, Bartlett window, Hamming window and the Hanning window.
标签： different compares impulse program
上传时间： 2017-09-12
上传用户：784533221
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
标签： Optimization and Uncertainty Quantification
上传时间： 2016-04-08
上传用户：huhu123456
基于dsp的iir滤波器设计包括matlab介绍，ccs介绍。 IIR（Infinite Impulse response，无限冲激响应）滤波器原理及使用方法； 使用MATLAB语言设计IIR滤波器的方法； 了解DSP对IIR滤波器的设计及编程方法； 在CCS环境下对IIR滤波器的调试方法；
上传时间： 2016-05-08
上传用户：梅浩梅浩
asp实现限制一个ip只能访问一次的方法 <% '///////////////////////////////////////////////////// '// // '//作用：一个IP地址只允许访问本页一次 // '//引用：<!-- #include file="Check_Ip.asp" --> // '// // '///////////////////////////////////////////////////// 'response.Charset = 936 '设置输出编码为简体中文 'response.Buffer = false '关闭缓冲区 Dim Fso,ts,IpList,Cfs '设置Cookies函数 Function SetCookie() response.Cookies("IsBrow") = "Brow" response.Cookies("IsBrow").Expires = Date+365 End Function '记录IP地址函数 Function WriteIp(FileName, IpAddress) Set Fso = Server.CreateObject("Scripting.FileSystemObject") Set ts = Fso.OpenTextFile(Server.MapPath(FileName),8,true) ts.WriteLine IpAddress ts.Close Set ts = Nothing Set Fso = Nothing End Function '读取IP地址函数 Function ReadIpList(FileName) Set Fso = Server.CreateObject("Scripting.FileSystemObject") If Not Fso.FileExists(Server.MapPath(FileName)) Then CreateFile("Iplist.txt") Exit Function End If Set ts = Fso.OpenTextFile(Server.MapPath(FileName)) Iplist = ts.ReadAll ts.Close Set ts = Nothing Set Fso = Nothing ReadIpList = Iplist End Function '创建文件函数 Function CreateFile(FileName) Set Fso = Server.CreateObject("Scripting.FileSystemObject") Set Cfs = Fso.CreateTextFile(Server.MapPath(FileName)) Cfs.Close Set Cfs = Nothing Set Fso = Nothing End Function '关闭当前IE窗口函数(注:IE6下通过,其他浏览器未测试) Function CloseWindow() 'response.Write "<script>window.location='javascript:window.opener=null;window.close();'</script>" response.Redirect "http://www.baidu.com" End Function Ip = Request.ServerVariables("REMOTE_ADDR") '获取浏览者IP地址 Cookie = Request.Cookies("IsBrow") '获取当前Cookies 'response.Write Cookie If Request.ServerVariables("HTTP_X_FORWARDED_FOR") <> "" Then response.Write "本站不允许使用代理访问" response.End() Else If Cookie = "Brow" Then CloseWindow() Else If Instr(ReadIpList("Iplist.txt"),Ip) <>0 Then CloseWindow() Else WriteIp "Iplist.txt" , Ip End If SetCookie() End If End If %>
上传时间： 2016-07-14
上传用户：helei0915
