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Mohammad Bassam Hammami on Muck Rack

Mohammad Bassam Hammami

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Developing a New Procedural Binary Particle Swarm Optimization Algorithm to Estimate Some Properties of Local Concrete Mixtures

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By George Wardeh, Fatima Alsaleh, Mohammad Bassam Hammami, Feras Al Adday
| MDPI
5. Results and Discussion In the previous research [44], the neural network algorithm was used to estimate the compressive strength of cement concrete for each period of 28 days. In that research, a neural network was designed consisting of three layers: the first layer was the “input layer”, which contained twenty neurons; then, the second layer was the “hidden layer”, which consisted of ten neurons; the third layer was the output layer, which consisted of five neurons.
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