Synthesize a Nuclear Waste Management Process Using Artificial Intelligence Techniques
Designing an ecologically clean procedure with an acceptable degree of controllability is one of the most efficient means of reducing wastes from their origins. To build such a method with minimum waste production, a methodical component synthesis technique is discussed in this work. This method is distinguished by the addition of the physical observability aspect to the traditional investment and operating costs cost functions, as well as the development of waste minimization methods as restrictions. Artificial intelligence approaches are used to depict waste minimization methods and assess architectural stability limited information is available and partial data understanding the mechanisms of garbage creation at the process design phase. Summarizing an expense and highly regulated method capable of reducing phenol-containing wastes in an oil rig demonstrates the usefulness of the suggested the nuclear waste management technique.