<button id="y88i6"></button> <li id="y88i6"></li> This code in this directory implements the binary hopfield network.Source code may be found in HOPNET.CPP. A sample training file is H7x8N4.trn. Sample test pattern files are: H7x8D4.TST, H5x8D7.TST,H5x8D7.TST and H5x8D9.TST, Output of the program goes to both the screen and a file, ARCHIVE.LST.
標簽： code implements directory hopfield
上傳時間： 2013-12-27
上傳用戶：ruixue198909
This book is designed to teach you the best practices in developing Windows DNA applications. We have avoided making this book a primer on every technology associated with Windows DNA. If we had followed this course, this would be an encyclopedia set. Everyone has their favorite authors and books on the various technical subject areas. The market is full of books to teach you the basics, the how, this book tries to be different in that we pull out the important points to teach you about the why. If you need training in a particular technology covered in this book, Sams has a number of 24-hour and 21-day books that cover a wide range of topics.
標簽： applications developing practices designed
上傳時間： 2016-11-27
上傳用戶：yyq123456789
Range imaging offers an inexpensive and accurate means for digitizing the shape of three-dimensional objects. Because most objects self occlude, no single range image suffices to describe the entire object. We present a method for combining a collection of range images into a single polygonal mesh that completely describes an object to the extent that it is visible from the outside.
標簽： three-dimensiona inexpensive digitizing accurate
上傳時間： 2016-11-29
上傳用戶：yxgi5
Simulation software, an important part of learning model electricity, The detailed explained how PPT to use his good tutorial is beginner self-study
標簽： electricity Simulation important explained
上傳時間： 2016-12-05
上傳用戶：hn891122
* Lightweight backpropagation neural network. * This a lightweight library implementating a neural network for use * in C and C++ programs. It is intended for use in applications that * just happen to need a simply neural network and do not want to use * needlessly complex neural network libraries. It features multilayer * feedforward perceptron neural networks, sigmoidal activation function * with bias, backpropagation training with settable learning rate and * momentum, and backpropagation training in batches.
標簽： backpropagation implementating Lightweight lightweight
上傳時間： 2013-12-27
上傳用戶：清風冷雨
learning English The following appeared in a memorandum written by the vice president of Nature s Way, a chain of stores selling health food and other health-related products. "Previous experience has shown that our stores are most profitable in areas where residents are highly concerned with leading healthy lives. We should therefore build our next new store in Plainsville, which has many such residents. Plainsville merchants report that sales of running shoes and exercise clothing are at all-time highs. The local health club, which nearly closed five years ago due to lack of business, has more members than ever, and the weight training and aerobics classes are always full. We can even anticipate a new generation of customers: Plainsville s schoolchildren are required to participate in a fitness for life program, which emphasizes the benefits of regular exercise at an early age.
標簽： memorandum following president learning
上傳時間： 2017-03-06
上傳用戶：youth25
MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers: G. A. Barreto & A. F. R. Araujo (2004) "Identification and Control of Dynamical Systems Using the Self-Organizing Map" IEEE Transactions on Neural Networks, vol. 15, no. 5.
標簽： implementation prediction described following
上傳時間： 2013-12-22
上傳用戶：windwolf2000
TreeMenu Component ================== The TreeMenu is a descendant of TTreeView. It is a "stealth-realese" because the TreeMenu is created only run time and it changes a design time defined simple TreeView to self. Using it is very simple. Please see the demo files. Author: ======= Pal Sitkei sitkei@chello.hu
標簽： TreeMenu descendant Component TTreeView
上傳時間： 2013-12-21
上傳用戶：gtf1207
pdf格式的英文文獻，是關于認知無線電網絡的，編者是加拿大桂爾夫大學的Qusay H. Mahmoud。ISBN：978-0-470-06196-1 章節內容： 1 Biologically Inspired Networking 2 The Role of Autonomic Networking in Cognitive Networks 3 Adaptive Networks 4 Self-Managing Networks 5 Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges 6 Cross-Layer Design and Optimization in Wireless Networks 等，共計13章，全書348頁，pdf文件383頁。
標簽： 英文
上傳時間： 2014-01-27
上傳用戶：daguda
a python version of Chinese segmentor. Only the complete program, thus you should provide the training and test data.
標簽： segmentor the complete Chinese
上傳時間： 2014-01-15
上傳用戶：yoleeson
