NeuroSolutions for Excel is a Microsoft Excel add-in that simplifies and enhances the process of getting data into and out of a NeuroSolutions neural network. This tool benefits both the novice and the advanced neural network developer by offering easy to use, yet extremely powerful features. The foremost feature of this product is that all tasks can be performed directly from Excel!
The Custom Solution Wizard does more than just create an isolated DLL. It integrates the DLL into a working sample application, giving you an excellent starting point for your own application. Sample applications can be created for Visual Basic, Access, Excel, Visual C++ and Active Server Pages (ASP web pages). In addition, you can also use the CSW to develop custom neural network models for our financial analysis product, TradingSolutions.
The NeuroSolutions for MATLAB neural network toolbox is avaluable addition to MATLAB's technical computing capabilities allowing users to leverage the power of NeuroSolutions inside MATLAB. The toolbox features 15 neural models, 5 learning algorithms and a host of useful utilities integrated in an easy-to-use interface, which requires "next to no knowledge" of neural networks to begin using the product.
“Introduction to Neural Network:A practical approach with NeuroSolutions” is a one-day hands-on workshop that focus on fundamental concepts and techniques for analysis and design of neural computation as an approach to intelligent problem solving. A great feature of the course is that the teaching material will illustrate practical graphical neural network development tools (NeuroSolutions) that enable you to easily create a neural networks model from your data. The course also illustrate the process of building of neural network directly from Excel that simplifies and enhances the process of getting data into and out of a neural network.
TradingSolutions is a software product that helps you make better trading decisions by combining traditional technical analysis with state-of-the-art artificial intelligence technologies. Use any combination of financial indicators in conjunction with advanced neural networks and genetic algorithms to create trading models that are remarkably effective.

 


NeuroSolutions Products Level Compare

NeuroSolutions is broken down into three different levels which cater for different capabilities. You only have to pay for the capabilities that are useful to you.

A - STANDARD, B - PROFESSIONAL, C - DEVELOPERS

 

NeuroSolutions

Level Summary

  A   B   C
           
Topologies
Multilayer Perceptron (MLP)  
Y
 
Y
 
Y
Generalized Feedforward Network  
Y
 
Y
 
Y
Modular Network  
Y
 
Y
 
Y
Jordan / Elman Networks  
Y
 
Y
 
Y
Self-Organizing Map (SOM)  
Y
 
Y
 
Y
Principal Component Analysis (PCA)  
Y
 
Y
 
Y
Radial Basis Function (RBF)  
Y
 
Y
 
Y
Probabilistic Neural Network (PNN)  
Y
 
Y
 
Y
General Regression Neural Network (GRNN)  
Y
 
Y
 
Y
Neuro-Fuzzy Network (CANFIS)  
Y
 
Y
 
Y
Support Vector Machine Network  
Y
 
Y
 
Y
Hopfield Network      
Y
 
Y
Time Delay Neural Network (TDNN)      
Y
 
Y
Time-Lag Recurrent Network (TLRN)      
Y
 
Y
General Recurrent Network      
Y
 
Y
Maximum Number of Inputs / Outputs / Neurons Per Layer  
500
 
Unlimited
Maximum Number of Hidden Layers  
6
 
Unlimited
Learning Paradigms
Backpropagation  
Y
 
Y
 
Y
Unsupervised Learning (Hebbian,Ojas,Sangers,Competitive,Kohonen)  
Y
 
Y
 
Y
Recurrent Backpropagation      
Y
 
Y
Backpropagation through time      
Y
 
Y
Gradient Descent Methods
Step / Momentum  
Y
 
Y
 
Y
Delta Bar Delta  
Y
 
Y
 
Y
Quickprop  
Y
 
Y
 
Y
Conjugate Gradient  
Y
 
Y
 
Y
Levenberg-Marquardt  
Y
 
Y
 
Y
Advanced Features
Exemplar Weighting - Improved training for data with unequal class distribution  
Y
 
Y
 
Y
Macros / OLE Automation - API to Automate and control NeuroSolutions  
Y
 
Y
 
Y
Sensitivity Analysis - to determine the most influential inputs  
Y
 
Y
 
Y
Genetic Optimization - Intelligent searching for the best parameters and inputs  
Y
 
Y
 
Y
Iterative Prediction - Advanced method for time series prediction      
Y
 
Y
ANSI C++ Source Code Generation - Embedded neural networks into your own applications, train neural networks on faster computers      
Y
 
Y
User-defined Neural Components (using DLLs) (Nonlinearities,Interconnections, Learning Rules, Error Criteria, input/Output, Memory Structures          
Y

MY Office : 72-3C, JALAN PUTERI 2/4, BANDAR PUTERI, 47100 PUCHONG, SELANGOR, Malaysia. Tel:+603-8063 9300 fax:+603-8063 9400
SG Office : 259, Onan Road, Singapore 424651. Tel: +65-6468 3325 Fax: +65-6764 5646