answersLogoWhite

0


Best Answer

Benefits of Neural Networks

Nonlinearly -- Important for inherently nonlinear signals.

Mapping input signals to desired response - supervised learning.

Adaptively -- Adapt weights to environment and retrained easily.

Evidential Response -- confidence level improves classification.

Contextual Information -- KR by structure and activation state of NN.

Fault Tolerent -- graceful degradation of performance if damaged.

VLSI Implementability -- due to NNs massively parallal nature.

Uniformity of Analysis and Design -- same notion used in all domains.

Neurobiological Analogy -- Research tool for interpretation of neurobiological phenomenon.

HERE ARE SOME POPULAR APPLICATIONS [ANNs]

Financial, Stock Market Prediction, Credit Worthiness, Credit Rating, Bankruptcy Prediction, Property Appraisal, Fraud Detection, Price Forecasts, Economic Indicator Forecasts, Medical, Medical Diagnosis, Detection and Evaluation of Medical Phenomena

Patient's Length of Stay Forecasts, Treatment Cost Estimation, Industrial Process Control

Quality Control, Temperature and Force Prediction, Science, Pattern Recognition,

Recipes and Chemical Formulation Optimization, Chemical Compound Identification

Physical System Modeling, Ecosystem Evaluation, Polymer Identification, Recognizing Genes, Botanical Classification, Signal Processing: Neural Filtering, Biological Systems Analysis, Ground Level Ozone Prognosis, Odor Analysis and Identification, Educational

Teaching Neural Networks, Neural Network Research, College Application Screening

Predict Student Performance, DATA MINING, Prediction, Classification, Change and Deviation Detection, Knowledge Discovery, Response Modeling, Time Series Analysis

Sales and Marketing, Sales Forecasting, Targeted Marketing, Service Usage Forecasting

Retail Margins Forecasting, Operational Analysis, Retail Inventories Optimization

Scheduling Optimization, Managerial Decision Making, Cash Flow Forecasting

HR Management, Employee Selection and Hiring, Employee Retention, Staff Scheduling

Personnel Profiling, Energy, Electrical Load Forecasting, Energy Demand Forecasting,

Short and Long-Term Load Estimation, Predicting Gas/Coal Index Prices, Power Control Systems, Hydro Dam Monitoring, Other --- Sports Betting, Making Horse and Dog Racing Picks, Quantitative Weather Forecasting, Games Development, Optimization Problems, Routing, Agricultural Production Estimates

User Avatar

Wiki User

15y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: What are the major benefits of neural networks?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

The strengthening of synaptic connections facilitates the formation of?

neural networks


What has the author Holk Cruse written?

Holk Cruse has written: 'Neural Networks As Cybernetic Systems' -- subject(s): Cybernetics, Neural Networks (Computer), Neural networks (Computer science), Nerve Net, Neural networks (Neurobiology)


What does the term neural networks traditionally refer to?

The term neural networks refers to the circuit of biological neurons. It can also refer to artificial neural networks. They are used in predictive modeling.


What is momentum neural networks?

momentum neural network


What is basic neutron of neural network?

Neural networks have nothing to do with neutrons.


What has the author Xiang Sun written?

Xiang Sun has written: 'The Lasso and its implementation for neural networks' 'The Lasso and its implementaion for neural networks'


What are neural networks examples in real life?

Many examples lies for neural networks in real life; most knew among others are the OCR or character recognition software; even the retina and finger prints recognizers are based on neural networks


The association areas are the last regions of the brain to fully develop their?

The association areas are the last regions of the brain to fully develop their neural networks. The association areas of the brain are considered the most complicated region of the brain.


What has the author Vassilios Petridis written?

Vassilios Petridis has written: 'Predictive modular neural networks' -- subject(s): Neural networks (Computer science)


What has the author John A Flores written?

John A. Flores has written: 'Focus on artificial neural networks' -- subject(s): Neural networks (Computer science)


What has the author Mohamad H Hassoun written?

Mohamad H. Hassoun has written: 'Associative Neural Memories' 'Fundamentals of artificial neural networks' -- subject(s): Neural networks (Computer science), Artificial intelligence


What are work groups that neurons cluster into?

neural networks