The implementation of artificial neural networks and fuzzy logic on some of engineering problems

In this study, cement, water, aggregates, slag, fly ash concrete plasticizer and pressure effects on the Neural Control Method using Artificial Neural Networks and Fuzzy Logic have been obtained. Chung-Hua University, Prof. I-Chen Yeh how the concrete compressive strength will vary according to materials used in different ways to measure the mixing experiment has a total of 7 different matters. After waiting 28 days compressive strength of concrete was measured in the experiment.The experimental data were compared with actual values; the values determined using the ANN method. Then, the neural fuzzy control with the actual values compared with data obtained using the method. In the end, the actual values, ANN and Fuzzy Logic Control Method with Neuro were compared with the values we find.Key words: artificial neural networks, fuzzy logic, concrete compressive strength, forecasting, artificial intelligence.