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• W1492454988 abstract "This study examines the value of utilizing neural net modeling for issues relating to optimization across a network of cities in space. Neural nets are made up of many nonlinear computational elements that operate in parallel and are arranged in a manner similar to biological neural nets. Defining a neural net model involves specifying a net topology, arrangement of nodes, training or learning rules, adjustment of weights associated with connections, node characteristics, and rules of transformation from input to output. All of these are the major issues in such regional problems as labor force migration and firm location." @default.
• W1492454988 created "2016-06-24" @default.
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• W1492454988 date "2002-11-27" @default.
• W1492454988 modified "2023-09-26" @default.
• W1492454988 title "Neural Networks and Regional Science Modeling: A Survey of Techniques for Complex Spatial Analysis" @default.
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• W1492454988 doi "https://doi.org/10.52324/001c.8460" @default.
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