Neural Lab

Neural Lab is a free, neural network simulator that designs and trains artificial neural networks for use in engineering, business, computer science and technology. It integrates with Microsoft Visual Studio using C (Win32 - Wintempla) to incorporate artificial neural networks into custom applications, research simulations or end user interfaces.

It provides a visual environment to design and test artificial neural networks.

The latest Neural Lab version is 4.1. The two major versions are version 3.1 and 4.0.

Version 3.x

Version 3.1 is navigated using a standard computer mouse. Version 3.1 is considered easier to use, however, it is difficult to perform complex tasks programmatically. Version 3.1 is therefore primarily useful for people without a programming background.

The version 3.1 tutorial provided very little theoretical background on artificial neural networks. Despite the number of examples, most of the examples focus only on multi-layer networks with supervised training.


Version 4.x

In version 4.0, it is possible to perform neural network operations by writing code. The code is very similar to C/C++, Java or C#.

In version 4.0, the authors incorporate background information on artificial neural networks.


Version 4.0 incorporates Kohonen networks that can be trained without supervision and probabilistic neural networks.

Features

Applications

Specific examples of neural networks include:

Wintempla

Neural Lab is developed using Wintempla (a plug in that works with Microsoft Visual Studio). Wintempla encapsulates Win32 and simplifies the development of Microsoft Windows applications using C++ and native Win32 APIs.

Wintempla is a tool that integrates with Microsoft Visual Studio. Wintempla encapsulates Win32 to simplify the creation of Web and Desktop applications using C++ and object-oriented programming. The programmer has the option to use the native Win32 APIs or the Wintempla classes.

Wintempla includes:

  • A tutorial with key concepts in programming
  • Videos to illustrates how common control instructions (such as: if, else, for, while, etc.) work
  • Many examples and problems that can be used in: programming classes, SQL, PLSQL, Graphics
  • Support to create SQL database applications
  • SQL Import to create (in seconds) desktop or web applications from a SQL file
  • Simulated annealing optimization
  • Genetic algorithm optimization
  • Asynchronous module for Digital to Analog converters (DAC)
  • Asynchronous module for Analog to Digital converters (ADC)
  • Asynchronous module for serial ports
  • Multithread applications
  • Document printing
  • Microsoft Windows services
  • GUI deployment
  • Digital Signal Processing (remez, FFT and Filtering)
  • Common Object Model (COM)
  • A Lexical Analyzer, a compiler and virtual Machine
  • Artificial Neural Networks
  • Matrix operations
  • Data Visualization: Pie Chart, XY Chart, Polar Chart, Histogram, 3D Visualization, Simulation View
  • Native support for string manipulation using the STL
  • Native support for Math operations using the STL
  • Native support for data file storage
  • GDI Game application
  • Support for DirectX applications
  • Support for Open GL applications
  • Support to create PDF files programmatically

File extensions

See also

References


External links

This article is issued from Wikipedia - version of the 8/19/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.