.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Neural Network Data Analysis Using Simulnet
E. J. Rzempoluck
€ 67.93
FREE Delivery in Ireland
Description for Neural Network Data Analysis Using Simulnet
Hardback. Presents an introduction to the analysis of data using neural networks. This book discusses neural network functions such as multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalized regression neural networks, learning quantizer networks, and self-organizing feature maps. Num Pages: 226 pages, biography. BIC Classification: UNC; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 244 x 170 x 22. 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
Hardback
Publication date
1997
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
9780387982557
SKU
V9780387982557
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Neural Network Data Analysis Using Simulnet