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Neural Networks is an innovative Mathematica application package designed to train, visualize, and validate neural network models. It combines Mathematica's powerful ...

This presentation is an overview of the Neural Networks application package. Topics discussed include people in the neural networks field, typical problems, tools, and ...

Neural networks usually are developed on a high-level language, which requires experience, or a commercially available program, which may limit your options. Mathematica ...

Introduces the operations and application of neural networks in the context of Mathematica's programming language. Shows professionals and students how to use Mathematica to ...

This example shows how vector quantization, radial basis function, and feedforward networks compare when they are used to classify the data from a hybrid gas array sensor, an ...

From the back cover: This book introduces "functional networks", a novel neural-based paradigm, and shows that functional network architectures can be efficiently applied to ...

Neural Networks (www.wolfram.com/products/applications/neuralnetworks/) is a tool to train, visualize, and validate neural network models. It supports a comprehensive set of ...

This is the first installment in the electronic publication of "EXPLORING NEURAL NETWORKS WITH MATHEMATICA", an extensive collection of instructional notebooks developed in ...

Several neural networks were developed in the Mathematica programming environment in order to test the results of Kim and Myung (1995), which claimed that the addition of ...

I recently received a copy of the Mathematica computer mathematics software for the Apple Macintosh II from Wolfram Research. To see if it has potential for application to ...