Applied Concepts in Military Industrial Engineering

Applied Concepts in Military Industrial Engineering

2008 Views
MRP : ₹222.00
Price : ₹166.50
You will save : ₹55.50 after 25% Discount
Inclusive of all taxes
INSTANT delivery: Read it now on your device

Save extra with 2 Offers

Get ₹ 50

Instant Cashback on the purchase of ₹ 400 or above
SAVE05 Already Applied

Product Specifications

Publisher Vinra Publication All Industrial Engineering books by Vinra Publication
Author: Vinra Publication
Number of Pages 253
Available
Available in all digital devices
  • Snapshot
  • About the book
  • Sample book
Applied Concepts in Military Industrial Engineering - Page 1 Applied Concepts in Military Industrial Engineering - Page 2 Applied Concepts in Military Industrial Engineering - Page 3 Applied Concepts in Military Industrial Engineering - Page 4 Applied Concepts in Military Industrial Engineering - Page 5

Application of Neural Networks and Other Learning by Vinra Publication


Book Summary:
 
Encyclopedia of Neural Networks in Bioprocessing and Chemical Engineering discusses on the application of neural networks. In computer science and related fields, artificial neural networks are computational models inspired by animals’ central nervous systems that are capable of machine learning and pattern recognition. For example, in a neural network for handwriting recognition, a set of input neurons may be activated by the pixels of an input image representing a letter or digit. The activations of these neurons are then passed on, weighted, and transformed by some function determined by the network’s designer, to other neurons, etc., until finally an output neuron is activated that determines which character was read.

Audience Of this Book:

This book is Useful for Computer Science Engineering Students.
 
Table of Content:

Chapter 1 Comparison of Artificial Neural Network Architecture in
Solving Ordinary Differential Equations

Chapter 2 Artificial Neural Network Modeling for Biological Removal
of Organic Carbon and Nitrogen from Slaughterhouse Wastewater in a Sequencing Batch Reactor

Chapter 3 Improved Kohonen Feature Map Probabilistic Associative
Memory Based on Weights Distribution

Chapter 4 Using Ensemble of Neural Networks to Learn Stochastically
Convection Parameterizations for Climate and Numerical Weather Prediction Models from Data Simulated by a Cloud Resolving Model

Chapter 5 Fuzzified Data-Based Neural Network Modeling for Health
Assessment of Multistorey Shear Buildings

Chapter 6 A Unified Framework for GPS Code and Carrier-Phase
Multipath Mitigation Using Support Vector Regression

Chapter 7 A Novel Learning Scheme for Chebyshev
Functional Link Neural Networks

Chapter 8 Activation Detection on fMRI Time Series Using
Hidden Markov Mode