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An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurones) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurones. This is true of ANNs as well.

The main idea of Neuro Laboratory Solution is visual modelling and processing any data with the use of neural networks. Any network application can be built and trained using the environment. Application includes Network Elements Toolbox - component that contains realization of most commonly used neural networks paradigms (simple neuron, RBF cell, Kohonen layer, Hopfield layer and others). Neuro Laboratory also includes components for training neural networks and verification quality of training.

Neuro Laboratory presents all necessary facilities for such activities as scientific research, software development and education. It includes components which make avaliable usage of prepared materials in your custom aplications. Well planned architecture allows extension of the functionality of the main module in the way of implementing external components. They are called plug-ins and trainers in Neuro Laboratory terminology. Environment has been also extended by including script engine with an opportunity of parsing and training of a neural network built in the editor. This component has been implemented as a plug-in.

Neuro Laboratory Products

Neuro Laboratory 1.0 Professional Edition