Answer:
Prediction Accuracy of Neural Networks depends upon two key factors
1- Neural modeling framework used
2- Characteristics of data set-Imputed
A neural network is a network of neurons, like a human brain has, or in a current era sense, an artificial neural network, made up of of artificial neurons or nodes. Hence a neural network is a computing system that is inspired by human brain and its nervous system. It is used to solve Artificial Intelligence (AI) problems.
Further Explanation:
• ANN is an adaptive system that adjusts its structure on the basis of external or internal information which flows through the network and this change also depends on the computational model used. Neural Network (NN) or Artificial Neural Network (ANN) prediction accuracy depends upon:
1- Characteristics of Data Set Imputed:
A neural network is a series of algorithms used to recognize underlying relationships in a set of data through a process that resembles the way the human brain processes information.
Neural networks can adjust itself to changing inputs; so the network generates the best possible result without needing to redesign the output requirements.
2- Neural Models:
Neural modeling field is a mathematical framework for machine learning which is based on combining ideas comes from neural networks, fuzzy logic- a kind of logic used in computers that are designed to act like humans, and model based recognition.
Practical Application
- Self driving Cars
- Business forecasting i.e. planning, demands, supply
- Pattern-object recognition i.e. face recognition
- Medical diagnosis
Helpful Links on Neural Networks explanation:
https://brainly.in/question/4226585
https://brainly.in/question/7635118
brainly.com/question/10599832
Answer details :
Grade: High School
Subject: Computers and Technology
Key Words:
Machine learning, neural networks, artificial neural networks, artificial intelligence, Neural modeling etc