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ARTIFICIAL NEURAL NETWORKS AND CRIME MAPPING by Andreas M. Olligschlaeger Carnegie Mellon University
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Document Date: 2008-01-24 11:26:26


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City

Devlin / Kansas City / Pittsburgh / Hartford / Cleveland / Jersey City / San Diego / /

Company

PDP Research Group / Artificial Neural Networks / /

Event

Company Expansion / /

Facility

Carnegie Mellon University / /

IndustryTerm

abundant technical solutions / invaluable tool / purpose crime mapping systems / feed-forward networks / potential applications / reactive law enforcement / proactive law enforcement / computer systems / neural network / mainframe applications / law enforcement strategies / parallel distributed processing / law enforcement efforts / backpropagation network / operations systems / open-architecture database systems / neural networks / enterprise-wide computer applications / police record management / law enforcement philosophy / law enforcement support functions / proactive law enforcement efforts / law enforcement / computer technology / perceptron-like neural networks / software packages / police officers with automated tools / nonlinear signal processing / geocoding algorithm / expert systems / geographic information systems / /

MarketIndex

SpaceTime Autoregressive Integrated Moving / /

Organization

School of Public Policy and Management / Carnegie Mellon University / Bureau of Police / /

Person

Andreas M. Olligschlaeger Carnegie / Andreas M. Olligschlaeger / /

Position

representative / estimating feed-forward / Carpenter / /

ProvinceOrState

Pennsylvania / /

Technology

GIS / neural network / ASCII / geocoding algorithm / computer technology / /

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