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SmartWare Suite A.I. Programming Components
SmartWare Suite Neural net, Genetic Algo and Fuzzy logic component. RG Software's SmartWare Suite 3.0 is a complete suite of A.I. tools, designed for beginners to advanced users of A.I. SmartWare Suite 3.0 ships with three modules for advanced analysis of all your classification, prediction and estimation problems: SmartWare Neural Network Module SmartWare Genetic Algorithm Module SmartWare Fuzzy Logic Component Analysis Module. SmartWare Suite A.I. Programming Components is a demo categorized under artificial intelligence,active x tools.
Keywords: fuzzy logic rg software genetic algorithm smartware neural network ships estimation problems logic component suite 3 3d interface winter scenery
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NN50.DLL
Artificial Neural Networks are computational paradigms which implement simplified models of their biological counterparts, biological neural networks. Biological Neural Networks are the local assemblages of neurons and their dendrite connections that form the brain. The implementation of Neural Networks for brain-like computations like patterns recognition, decisions making, motory control and many others is made possible by the advent of large scale computers in the late 1950's. Conventional computers rely on programs that solve a problem using a pre-determined series of steps, called algorithms. These programs are controlled by a single, complex central processing unit, and store information at specific locations in memory. Artificial Neural Networks use highly distributed representations and transformations that operate in parallel, have distributed control through many highly interconnected neurons, and store their information in variable strength connections called synapses ? just like a human brain. To train a neural network you must have a data set containing sample parameters which corresponding to the results. The data used for training is usually obtained using historical data in which the outcomes are known. You can also train a neural network by creating sample problems and answers. Once the training process is completed, the neural network will be able to predict answers when new inputs are processed. This development tools software is listed under math, artificial intelligence, a.i., data mining.
Keywords: artificial neural networks algorithms train synapses data set computational paradigms biological neural networks neurons transformations distributed control neural network motory human brain historical data variable strength biological counterparts conventional computers dendrite name and address source directory
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