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NeuroShell 2 (N/A) 4.2
類神經網路教學應用系統
Experimentation kit of 16 classic neural network architectures primarily for students and professors.
軟體代號:79
瀏覽次數:14407
Windows2000WindowsXPWindowsVISTAWindows7
教育版
商業版
再啟動服務
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原廠技術服務
中文入門手冊
教育訓練
目前庫存
中文型錄
英文型錄
安裝序號
合法保證
原廠手冊
Advanced Neural NetworksBuilt-in CapabilitiesData PreprocessingFile Import and Export

中原大學
中國文化大學
亞東技術學院
京鼎電腦實業股份有限公司
健行學校財團法人健行科技大學
元智大學
嘉義榮民總醫院
國立成功大學
國立政治大學
國立暨南國際大學
國立清華大學
國立臺北商業大學
國立臺北科技大學
國立臺灣大學
國立臺灣科技大學
國立虎尾科技大學
國立高雄科技大學 (西校區)
大同大學
大漢技術學院
大華學校財團法人大華科技大學
嶺東科技大學
工研院 財團法人工業技術研究院 中興院區
明志科技大學
真理大學
義守大學
萬能科技大學
財團法人農業工程研究中心
中華大學學校財團法人中華大學
保林資訊有限公司
南華大學
國立中正大學
國立聯合大學 (二坪山校區)
實踐大學
東南科技大學
正修學校財團法人正修科技大學
淡江大學
臺北市政府 臺北翡翠水庫管理局
企業管理學系
電機工程學系
資訊管理學系
行銷與流通管理系
工業管理學系
工業工程與管理學系
泌尿外科
系統及船舶機電工程學系
資訊科學系
休閒學與觀光管理學系
工業工程與工程管理學系
材料及資源工程系
地理環境資源學系
建築學系
動力機械工程學系
風險管理與保險學系
資訊工程學系
資訊經營系
國際貿易學系
事務組
材料與化工研究所
觀光與休閒事業管理系
資訊組
土木工程學系
科技管理學系
管理經濟學系
會計與資訊學系
經營管理學系
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環境與安全衛生工程學系
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安全檢查科
Features
NeuroShell 2 -------------------------------------------------------------------------------- NeuroShell 2 Main Page Neural Network Architectures Additional Features Graphics Aid Data Analysis Built-in Capabilities Use Network Outside of NeuroShell Specifications Included Features -------------------------------------------------------------------------------- NeuroShell 2 combines powerful neural network architectures, a Microsoft® Windows icon driven user interface, sophisticated utilities, and popular options to give users the ultimate neural network experimental environment. It is recommended for academic users only, or those users who are concerned with classic neural network paradigms like backpropagation. Users interested in solving real problems should consider the NeuroShell Predictor, NeuroShell Classifier, or the NeuroShell Trader. Beginner's Neural Networks NeuroShell 2 includes both Beginner's and Advanced Systems in addition to Runtime Facilities. NeuroShell 2 includes interfaces for beginners and experts alike. The Beginner's System in NeuroShell 2 is designed for novices and first-time users. It includes a simplified set of procedures for building and executing a complete, powerful neural network application. The Beginner's System uses our powerful enhanced backpropagation paradigm, and defaults network parameters such as learning rate, momentum, and number of hidden neurons. To use the system you enter data, specify the inputs and outputs, and train the network. You are then able to apply the trained network to new data and export the results to other programs. Advanced Neural Networks The NeuroShell 2 Advanced Options screen displays the independent modules that may be used to create a neural network application. click on image for a better picture The Advanced System in NeuroShell 2 gives experienced neural network users the ability to create and execute 16 different neural network architectures, with more user control compared to the Beginner's System. Spreadsheet Format Users can choose to enter their data in their familiar spreadsheet program or work in the NeuroShell 2 Datagrid. The program uses spreadsheet files as its internal format so you can view or edit them yourself. In fact, NeuroShell 2 will call your favorite Windows spreadsheet program. 32-Bit Addressing; 32-Bit Math NeuroShell 2 takes advantage of 32-bit addressing because it is a full 32-bit program that runs only on Windows 98, Windows 2000, XP or NT (with Service Pack 3). NeuroShell 2 operates with either 32-bit floating point or 32-bit integer arithmetic, depending upon whether or not your computer has a math coprocessor. For example, 486 SX machines do not have a math coprocessor, but NeuroShell 2 automatically switches to the fast and precise 32-bit integer arithmetic mode (actually, the arithmetic is 64 bits, with final storage in 32 bits). With any other software on such a machine, floating point would be very slow. File Import and Export NeuroShell 2 imports ASCII, binary, and spreadsheet files. The program imports and exports ASCII and binary file formats. The File Export Module allows you to convert NeuroShell 2 files to ASCII or binary files. It will also merge data into an existing spreadsheet or print a file. Data Preprocessing The Rules Module allows you to create If/Then/Else rules to pre-process data. The Symbol Translate module converts alphanumeric data or strings into numbers which can be processed by the network. For example, you may want to convert 'cold', 'warm', and 'hot' to 1, 2, and 3 respectively. The Rules Module allows you to create If/Then/Else type rules to preprocess data prior to feeding it to the network. For example, you can use two input variables to create a third. You may believe that if you combine the price of gold and IBM stock and the total is greater than 400, the economy is improving. You can translate this information into a new network input as follows: If gold + IBM > 400, then economy (the new variable) = 1, else economy =0. You may also use the Rules Module to post-process the network's predictions and classifications. Test Set Extract NeuroShell 2 gives you great flexibility in choosing which columns of your spreadsheet are inputs and which are outputs. click on image for a better picture NeuroShell 2 makes it easy to pull out test and production data sets from the training data. The Test Set Extract Module offers four different methods for selecting data: N percent randomly chosen. Every Nth pattern. Block designation. By row marker in the data. Combination block designation and random.
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Chung Yuan Christian University Department of Electrical Engineering
Chinese Culture University DEPARTMENT OF INFORMATION MANAGEMENT
Oriental Institute of Technology Department of Marketing and Logistics Management

Chien Hsin University of Science and Technology Department of Industrial Management
Yuan Ze University Department of Industrial Engineering & Management
Chia-I Veterans Hospital,VAC, Executive Yuan Division of Urology,Department of Surgery
National Cheng Kung University Department of Systems and Naval Mechatronic Engineering
National Chengchi University Department of Computer & Information Science
NATIONAL CHI-NAN UNIVERSITY
National Tsing Hua University Industrial Engineering and Engineering Management Department
National Taipei University of Business Department of Business Administration
National Taipei University of Technology Department of Materials and Mineral Resources Engineering
National Taiwan University Department of Geography
National Taiwan University of Science and Technology Department of Architecture
National Formosa University Department of Business Administration
National Formosa University Department of Power Mechanical Engineering
National Kaohsiung University of Science and Technology Department of Risk Management and Insurance
TaTung University Department of Computer Science and Information Engineering
TaTung University Department of Information Management
Dahan Institute of Technology Department of Business Administration
Ta Hwa University of Science and Technology  Department of International Trading
Ling Tung University Purchase and Maintenance Section
Industrial Technology Research Institute Materials and Chemical Engineering
MingChi University of Technology Department of Industrial Engineering & Management
Aletheia University Department of International Trading
I-SHOU UNIVERSITY Department of Computer Science and Information Engineering
VanNung University Department of Leisure Studies and Tourism Management
Agricultural Engineering Research Center Information Dept