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Neuro Fusion Key Features & Feature Set

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Key Features

State-of-the art constructive neural networks

Proven algorithms automatically create and train a network for you

Extremely easy interface: you can run your first project within minutes

Almost no AI knowledge required: no need to tweak with parameters

Dataset size and network size are limited only by available memory

Automatic network adjustment for regression or classification problems

Rigorously tested on many real-world problems

When you select Neuro Fusion for your development needs you get the following benefits:

Reduce development time by several times for your neural network-related part of project No need to master neural networks theory, no need to experiment and look for best parameters and architectures, no need to implement and debug neural network engine.

Employ proven, powerful, and efficient neural networks You software will be improved with the same neural networks that are used in professional tools designed at for neural network experts.

No royalties! Neural network programs that are compiled with Neuro Fusion can be distributed within your company if you purchased Real-Time License or globally if you purchased Integration License.

Improve your company You can easily improve business intelligence and technological advance in your organization integrating neural networks in decision support systems, process control applications and more.

Get free technical support All our clients are entitled to get a free technical support and free upgrades until the next major release.

Feature Set

Data Pre-processing

Dataset size limited only by available memory

Input data types: numerical and categorical

Automatic preprocessing before training

Automatic numerical columns scaling

Automatic categorical columns encoding

Training

Automatic problem type determination (classification or regression)

Automatic network design and training

Automatic and manual control of training stopping conditions

Generalization loss control

Full control of the training process, including pausing and stopping

Real-time information about training progress

3 types of network errors: AE, MSE, CCR

Network Application

The ability to save and load a network at any time you need

Use a just created or loaded network to apply it to new data and get neural network reply

General

Low resource requirements

Example programs included in source form

Support of load and save operations

The Online Manual includes Chapter "Introduction in Neural Networks"

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