arlington
Pageville Shopping Cart API 1.5
Pageville Shopping Cart API is a powerful program that makes it quick and easy to add shopping functions to your web site. more>>
Pageville Shopping Cart API 1.5 is a powerful program that makes it quick and easy to add shopping functions to your web site.
Continue using whatever program you used to create and maintain your web page content. The Shopping Cart Editor takes images you select on your site and creates hyperlink code to turn those images into BUY or CHECKOUT buttons. Pageville Shopping Cart Editor works with most editors that support hypertext links and copy and paste.
If you are using an editor that has macro or extension support, you can integrate using Copy and Paste Integration. The Shopping Cart API provides what software developers need to seamlessly integrate shopping cart functions with an HTML or text editing program. While integration is not required for the shopping cart editor to work, the API makes a nice package that includes both editing and e-commerce.
Numap7 7.1
Freeware for fast training, validation, and application of regression/approximation networks including the multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source for applying trained networks. Extensive help. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Pruning for approximate structural risk minimization. more>>
Numap7 7.1 offers you a freeware, which supports fast training, validation, and application of regression/approximation networks including the multilayer perception (MLP), functional link network, ordered functional link network, and piecewise linear network. The self organizing map (SOM) and K-Means clustering are also included. Fast pruning algorithms create and validate a nested sequence of different size networks, to facilitate structural risk minimization. C source code for applying trained networks is provided, so users can use networks in their own applications. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Example training data is also provided. Fast VB Graphics for network training error and cluster formation are included. Extensive help files are provided in the software.
Numap7 is highly automated and requires very few parameter choices by the user. This version runs significantly faster. Advanced features include network sizing and feature selection. Training data can be compressed using the discrete Karhunen-Loeve transform (KLT). This basic version of Numap7 limits the MLP to 10 hidden units and limits the PLN to 10 clusters. Upgradable to commercial versions which lack these limitations. The classification (decision making) version of this software, called Nuclass7, is also available. Numap7.1 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC.
Major Features:
- Many options include real-time graphics.
- Training speed is considerably faster and error is smaller than that available elsewhere.
- Feature selection (subsetting) is approximately optimal.
Enhancements:
- Faster algorithms
- Improved feature selection
Requirements:
- Windows 2000 or XP,
- 32MB RAM,
- 25MB hard disk space
WareSeeker Editor
the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC. Requirements: Windows 2000 or XP, 32MB RAM, 25MB hard disk space. Whats new in this versionLicense:Freeware
the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLCLicense:Freeware
MLP-Map 1.0
MLP-Map - Sourcecode for training and application of multilayer perceptron approximation more>>
The training algorithm can be modified to be better than BP. A readme file is provided.
The classification version of this software, called MLP-Class, is also available. MLP-Map was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC.
The software is meant to be a good starting point for people who like to develop their own code. Also, the saved networks can be pruned by our regular software, Numap7.
For winzip password, go to: http://www-ee.uta.edu/eeweb/ip/Software/Software.htm
Numap 7.06a
Numap - Freeware for fast development and application of approximation type networks more>>
The self organizing map (SOM) and K-Means clustering are also included. Fast pruning algorithms create and validate a nested sequence of different size networks, to facilitate structural risk minimization.
C source code for applying trained networks is provided, so users can use networks in their own applications. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Example training data is also provided. Fast VB Graphics for network training error and cluster formation are included. Extensive help files are provided in the software.
Numap7 is highly automated and requires very few parameter choices by the user. This version runs significantly faster. Advanced features include network sizing and feature selection.
Training data can be compressed using the discrete Karhunen-Loeve transform (KLT). This basic version of Numap7 limits the MLP to 10 hidden units and limits the PLN to 10 clusters. Upgradable to commercial versions which lack these limitations.
The classification (decision making) version of this software, called Nuclass7, is also available. Numap7.0 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC.
Nuclass7 7.1
Freeware for fast training, validation, and application of neural and conventional classifiers including MLP, functional link net, piecewise linear net, nearest neighbor classifier, self organizing ma more>>
Freeware for fast training, validation, and application of classification type networks including the multilayer perceptron (MLP), functional link network, piecewise linear network, and nearest neighbor classifier. The self organizing map (SOM) and K-Means clustering are also included. Fast pruning algorithms create a nested sequence of different size networks, to facilitate structural risk minimization. C source code for applying trained networks is provided, so users can use networks in their own applications. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Example training data is also provided. Fast VB Graphics for network classification error and SOM cluster formation are included. Extensive help files are provided in the software.
Nuclass7 is highly automated and requires very few parameter choices by the user. This version runs significantly faster. Advanced features include network sizing and feature selection. Training data can be compressed using the discrete Karhunen-Loeve transform (KLT). This Basic version of Nuclass7 limits the MLP to 10 hidden units, the PLN to 10 clusters, and the NNC to 50 clusters. Upgradable to the commercial version, which lacks these limitations. The regression/approximation version of this software, called Numap7, is also available. Nuclass7 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC.
Requirements: Windows 2000 or XP, 32MB RAM, 25MB hard disk space
Whats new in this version: Faster algorithms, Improved feature selection
<<lessImage Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC. Major Features: Many options include real-time graphics. Training speed is considerablyImage Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC. Requirements: Windows 2000 or XP, 32MB RAM, 25MB hard disk space. Whats new in this versionLicense:Freeware
Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLCLicense:Freeware
MLP-Class 1.0
MLP-Class - Sourcecode for fast training and application of multilayer perceptron classifier more>>
Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuClass7.06. The training algorithm can be modified to be substantially better than BP. A readme file is provided.
The approximation/regression version of this software, called MLP-Map, is also available. MLP-Class was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC.
For winzip password, go to:
http://www-ee.uta.edu/eeweb/ip/Software/Software.htm
Nuclass 7.06a
Nuclass - Freeware for fast development, application of neural and conventional classifiers more>>
The self organizing map (SOM) and K-Means clustering are also included. Fast pruning algorithms create a nested sequence of different size networks, to facilitate structural risk minimization.
C source code for applying trained networks is provided, so users can use networks in their own applications. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Example training data is also provided. Fast VB Graphics for network classification error and SOM cluster formation are included. Extensive help files are provided in the software.
Nuclass7 is highly automated and requires very few parameter choices by the user. This version runs significantly faster. Advanced features include network sizing and feature selection. Training data can be compressed using the discrete Karhunen-Loeve transform (KLT).
This Basic version of Nuclass7 limits the MLP to 10 hidden units, the PLN to 10 clusters, and the NNC to 50 clusters. Upgradable to the commercial version, which lacks these limitations.
The regression/approximation version of this software, called Numap7, is also available. Nuclass7 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC.
DSpeech 1.55.1
DSpeech is a stand-alone program of TTS with functionality of ASR integrated. more>> DSpeech is a TTS (Text To Speech) program with functionality of ASR (Automatic Speech Recognition) integrated. It is able to to read aloud the written text and choose the sentences to be pronounced upon the vocal answers of the user. It is specifically designed to provide quickly and directly the functions of better practical usefulness that are requested to this kind of programs. In the meantime the invasivity and the spent of resources are minimal. (DSpeech does not install itself, is very light, it starts in a second and doesnt write anything on the register). The capital features of DSpeech are:
1. It allows to save the output as a Wav or Mp3 file.
2. It allows to select quickly different voices and to combine them between
themselves, in order to create dialogues between some voices.
3. It integrates a vocal recognition system that, through a simple script language, allows to create interactive dialogues with the user.
4. It allows to configure the voices in an independent way.
5. Thanks to apposite TAGs, it allows to change dinamically the features of
the voices during the reproduction (speed, volume and frequency), to insert
pauses, to emphasize some words or to spell.
6. It allows to capture and reproduce the content of the ClipBoard.
7. Its compatible with all modern vocal engines SAPI 5 compliant.
On Windows XP you dont have need to install anything. On Windows NT4/2000 you must install MS-SAPI, you can download them here:
http://aldostools.mysite4now.com/sapi51.msi
http://www.arlington.com.au/sapi51.msi
Similarly, on NT4/2000, if you want use the Speech Recognition features, you must install the MS-Recognition Engine too, download here (ca 30 MB).
DSpeech uses the vocal engines installed on system, by default Windows XP has only Microsoft SAM.
However, the better vocal engines come from Acapela, Cepstral, Loquendo, RealSpeak and VoiceWare.<<less
from here: http://aldostools.mysite4now.com/sapi51.msi http://www.arlington.com.au/sapi51.msi Windows XP is already SAPI5 compliant. DSpeech uses the vocal engines installed on systemLicense:Freeware
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