TY - JOUR AU - Ms. Gurpreet Kaur, Ms. Manminder Kaur, PY - 2019/09/26 Y2 - 2024/03/28 TI - Control of Different Industrial Loads through the Implementation of Artificial Intelligence and Machine Learning JF - International Journal of Control and Automation JA - IJCA VL - 12 IS - 4 SE - Articles DO - UR - http://sersc.org/journals/index.php/IJCA/article/view/37734 SP - 315 - 322 AB - The fundamental goal of the venture is to automate the special operations utilized in an enterprise thru the implementation of the special standards of synthetic intelligence, algorithms of system learning, robotics , system vision, Speech Analysis and Convolution Neural Networks via way of means of supplying a unified controlling interference for all of the operations and consequently to acquire most performance via way of means of lowering human effort, advent of parallel processing allows to lessen the time required to manufacture/produce/paintings on a particular product and additionally minimizing product harm and product rejection because the system is skilled to carry out the operations on a selected cloth handiest primarily based totally on its unique parameters which might be per-programmed withinside the system.In addition to this the idea of prediction and error-detection the use of gadget getting to know similarly enables to offer non-stop development as gadget getting to know algorithms benefit experience, they hold growing the share and accuracy which in flip enables them in making higher decisions. As the quantity of records generated continues growing, the set of rules learns to make extra predictions faster. Since the machines are furnished with the capacity to learn, it now no longer handiest enables them to make predictions, however additionally to enhance the algorithms on their very own This additionally enables to supply a far customer-precise application. Further, gadget getting to know algorithms are precise at managing records which are multidimensional and multi-range and feature the carry out those operations in dynamic environments. ER -