I'm looking for a good reference/book on programming neural networks in mathematica. I've been working through Freeman's 'Simulating Neural Networks with Mathematica,' but it is from 1994 so is quite dated. Is anyone familiar with a more recent book on the subject? For background, I'm very comfortable with pure mathematics, somewhat comfortable with general programming, and have been teaching myself to be proficient in mathematica.

I'd like to play around with implementing neural networks on mathematica for use in forecasting of high frequency economic data, so anything with a finance bent is an especially welcome reference. I've had an interest (as one can see in my other posts) in a wide range of distributed processing and parallel computing approaches and while not seen in any of my posts machine learning approaches as well. Blackberry Games Offline Installer.

Simulating Neural Networks With Mathematica Free Download Summary: 71,34MB Simulating Neural Networks With Mathematica Free Download Chasing for Simulating Neural.

I looked at neural networks some years ago, and while they didn't suit the problems I worked on at the time I remembered the article Duncan and Tweney wrote as useful. A couple of others might also prove useful. Three references follow: AI AND STATISTICAL APPLICATIONS Mathematica: A flexible design environment for neural networks From the Journal: Behavior Research Methods, Instruments, & Computers 1997,29 (2). 194-199 From 1997, a few years more recent than Freeman's. Freely available as a pdf: Abstract: Several neural networks were developed in Mathematica in order to explore the role of 'spiky' neurons in neural network memory simulations. Using Mathematica for this task confirmed its value as a powerful tool for neural network development: It exhibited distinct advantages over other environments in programming ease, flexibility of data structures, and the graphical assessment of network performance. One of its authors: Sean C.