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Books > Computing & IT > General theory of computing
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Neural Network Simulation Environments (Paperback, Softcover reprint of the original 1st ed. 1994)
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Neural Network Simulation Environments (Paperback, Softcover reprint of the original 1st ed. 1994)
Series: The Springer International Series in Engineering and Computer Science, 254
Expected to ship within 10 - 15 working days
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Neural Network Simulation Environments describes some of the best
examples of neural simulation environments. All current neural
simulation tools can be classified into four overlapping categories
of increasing sophistication in software engineering. The least
sophisticated are undocumented and dedicated programs, developed to
solve just one specific problem; these tools cannot easily be used
by the larger community and have not been included in this volume.
The next category is a collection of custom-made programs, some
perhaps borrowed from other application domains, and organized into
libraries, sometimes with a rudimentary user interface. More
recently, very sophisticated programs started to appear that
integrate advanced graphical user interface and other data analysis
tools. These are frequently dedicated to just one neural
architecture/algorithm as, for example, three layers of
interconnected artificial `neurons' learning to generalize input
vectors using a backpropagation algorithm. Currently, the most
sophisticated simulation tools are complete, system-level
environments, incorporating the most advanced concepts in software
engineering that can support experimentation and model development
of a wide range of neural networks. These environments include
sophisticated graphical user interfaces as well as an array of
tools for analysis, manipulation and visualization of neural data.
Neural Network Simulation Environments is an excellent reference
for researchers in both academia and industry, and can be used as a
text for advanced courses on the subject.
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