Neuroet Neuroet - Simple artificial neural network for scientists
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analysis determine network neural network data set analysis determine neuron number

Neuroet Description

Neuroet - Simple artificial neural network for scientists Neuroet is a 'simple' artificial neural network (NN) package designed to assist scientists in determining relationships among variables in complex data sets. Scientists, who are familiar with neural network principles, should be able to rapidly analyze their data by following the Hot Start procedures. Neuroet has some important features that are not typically found in most commercially available NN software. For example, Neuroet can automatically determine the optimal number of hidden neurons needed to train a NN. By knowing the optimal number of hidden neurons, one can prevent under- or over-fitting of the data that often leads to incorrect predictions and/or poor results. Benchmark testing of Neuroet with other NNs (see Section 9) demonstrated that our approach to optimize the number of hidden neurons was highly accurate and consistent. An important feature of Neuroet is that it can easily determine the predictive importance of combinations of input variables within a complex data set. By doing so, scientists can recognize relevant relationships among variables that would be difficult to recognize using conventional linear-based statistical approaches (e.g., principle component analysis).NOTE: Neuroet is licensed and provided under the Academic And Non-Commercial Use License.

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