Skip to main navigation
Skip to search
Skip to main content
Manipal Academy of Higher Education, Manipal, India Home
Help & FAQ
Home
Profiles
Research units
Research output
Equipment
Search by expertise, name or affiliation
Unemployment rates forecasting using supervised neural networks
Saloni Sharma
,
Sanjay Singh
Manipal Institute of Technology, Manipal
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Unemployment rates forecasting using supervised neural networks'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Neural Network
100%
Vector Quantization
66%
radial base function neural network
66%
Simple Average
33%
Ensemble Technique
33%
Support Vector Regression
33%
Recurrent Neural Network
33%
Radial Basis Neural Network
33%
Multilayer Perceptron
33%
Moving Average
33%
INIS
neural networks
100%
forecasting
100%
unemployment
100%
vectors
42%
learning
28%
quantization
28%
efficiency
14%
layers
14%
Engineering
Radial Basis Function
100%
Learning Vector Quantization
100%
Moving Average
50%
Support Vector Machine
50%
Perceptron
50%
Recurrent Neural Network
50%
Chemical Engineering
Neural Network
100%
Recurrent Neural Network
16%
Multilayer Neural Networks
16%
Support Vector Machine
16%