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Neural Network Data Analysis Using Simulnet
E. J. Rzempoluck
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Description for Neural Network Data Analysis Using Simulnet
Paperback. Num Pages: 226 pages, biography. BIC Classification: PBT; UYQ. Category: (P) Professional & Vocational. Dimension: 280 x 210 x 13. Weight in Grams: 600.
Scope of this Text This text is intended to provide the reader with an introduction to the analysis of numeri cal data using neural networks. Neural networks as data analytic tools allow data to be analyzed in order to discover and model the functional relationships among the recorded variables. Such data may be empirical. It may originate in an experiment in which the values of one or more dependent variables are recorded as one or more independent vari ables are manipulated. Alternatively, the data may be observational rather than empirical in nature, representing historical records of the behavior of some ... Read more
Scope of this Text This text is intended to provide the reader with an introduction to the analysis of numeri cal data using neural networks. Neural networks as data analytic tools allow data to be analyzed in order to discover and model the functional relationships among the recorded variables. Such data may be empirical. It may originate in an experiment in which the values of one or more dependent variables are recorded as one or more independent vari ables are manipulated. Alternatively, the data may be observational rather than empirical in nature, representing historical records of the behavior of some ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
226
Condition
New
Number of Pages
226
Place of Publication
New York, NY, United States
ISBN
9781461272625
SKU
V9781461272625
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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