{
"item_title" : "Artificial Neural Network Simulation",
"item_author" : [" Surekha Washimkar "],
"item_description" : "The field data-based model approach establishes for the phenomenon, which consists of various inputs in the industrial activity at the place of work. The response variables of the phenomenon established a quantitative relationship among the responses and inputs. Both the inputs and the corresponding responses are measured. Such quantitative relationships are known as mathematical models. Two types of models are established, viz. the model using the concept of least-squares multiple regression curve referred as mathematical model and the other is an Artificial Neural Network Simulation based model.",
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Artificial Neural Network Simulation
Overview
The field data-based model approach establishes for the phenomenon, which consists of various inputs in the industrial activity at the place of work. The response variables of the phenomenon established a quantitative relationship among the responses and inputs. Both the inputs and the corresponding responses are measured. Such quantitative relationships are known as mathematical models. Two types of models are established, viz. the model using the concept of least-squares multiple regression curve referred as mathematical model and the other is an Artificial Neural Network Simulation based model.
This item is Non-Returnable
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Details
- ISBN-13: 9786630073287
- ISBN-10: 6630073282
- Publisher: LAP Lambert Academic Publishing
- Publish Date: June 2026
- Dimensions: 9 x 6 x 0.15 inches
- Shipping Weight: 0.22 pounds
- Page Count: 64
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