Fuzzy techniques in concrete powder mix designing

Water cement ratio It is a method consisting of more than one attempt in order to obtain a product that contains a mixture of ideal components involved in the production and formation of high-performance and cohesion concrete. There are many methods for making and designing concrete mixtures in contemporary studies and researches that are approved at the present time, but one of the most important, well-known and most widely used is the methodologies derived from the method of the three equations. Compressive strength is one of the most important characteristics of concrete, as it determines the concrete class. The concrete block represents the expected compressive strength is necessary for the use of concrete structures. primary feature of its durability and safety. Deep learning has recently received a lot of Concentration, the future of modern prospects for this technology is brighter. Machine learning algorithms have advanced to the point that they can recognize patterns that are difficult for humans to recognize. This has sparked interest in data mining on enormous datasets. We want to use Recent developments and achievements in machine learning approaches to formulation of concrete mixes creation in our study. In order to enhance the possibility of the ideal structure designed for an artificial neural network, an integrated database of concrete specifications and features with corresponding destructive laboratory tests was created. The architecture of an artificial neural network has been translated In a mathematical equation consisting of employed in real-world applications”.