Some students are proficient more in computer sciences, while others are fonder of human studies. But what should a human studies student do, if he is forced to write computer science papers? Should he just give up and fail the computer science paper?
For these purposes – a student has to use a custom writing company. But what is a custom writing company? What do they do? Are they good? Is there a chance to be caught up in a fraud?
Modern custom writing companies help students get over some difficult, boring and useless assignments. If you have a class in computer science and you need to write a paper you know nothing about, and are not interested in knowing – you definitely need a custom writing company.
CustomWritings.com is a professional custom essay writing company which has 700 professional writers, who are able to help you with any of your assignments. Each writer is proficient in his own knowledge field, some of them are fond of computer science, and will be eager to help you. Read more…
Introduction and Description of the Document being analyzed
The technical document analyzed here is one of research papers from Georgia Institute of Technology on the field of Artificial Intelligence and Neural Networks. The paper is titled Dynamic Neural Networks for output feedback control. It explains on the implementation of an innovative idea to control the complexities of the feedback control of the outputs from linear velocity vectors and displacements. The basic model is designed as a controller which implements a secondary “learning while controlling” neural network model. Also open and closed looped simulations are intended within a Van Der Pol oscillator and the results are demonstrated in a graphical manner, which makes them easy to understand and implement.
Basic review of the concepts of Neural Networks and Complex systems
To understand this document first let us review some of the basic concepts of how neural networks are implemented in control and learning atmosphere. Complex systems, for instance in industries and robotics, have a high amount of uncertainties and disturbances in them and hence they are not very easy to control and implement. As system uncertainty or performance need increase, it becomes necessary to augment traditional feedback controllers with additional feedback loops that effectively “add intelligence” to the system. Some theories of artificial intelligence (AI) are now showing how aggregate machine systems should mimic human cognitive and biological processes to improve their capabilities for dealing with uncertainty. In this research paper one such implementation in the field of aerospace navigation has been investigated and a novel solution to the problem has been suggested. Read more…
