Analysis Of Optimizing Neural Networks For Guidance,Navigation And Control Systems


The use of neural networks is a huge achievement made by humans as it simulates one biological conscious mind is creating another artificial mind that can make logical decisions. The ability to learn and implement tasks within technical systems has given artificial intelligence algorithms such as neural networks, machine learning, and deep learning algorithms the ability to full fill tasks that consume more time and effort in manual conditions with much ease. With the rapid advancement of those data science and AI-based algorithms, the focus should be directed on how to use them to be more cooperative with humans and to work with them simulating a virtual person. The bigger picture of this concept needs more time and advancement on the AI technology, but it is completely possible to use the AI as a supervising, guiding, and control systems monitoring tool since a more refined AI will deliver less error, accurate and reliable responses within a short time. Analyzing the most crucial and important system components of the artificial intelligent models regarding specific requirements will give the best conclusive idea about this phenomenon.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL