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Training The neural network is trained using backpropagation with a learning rate of 0.1. The training data consists of four input-output pairs for the XOR problem: 0 XOR 0 = 0 0 XOR 1 = 1 1 XOR 0 = 1 ...

We propose a backpropagation (BP) neural network temperature compensation model optimized by a dynamic adaptive genetic algorithm. The improved genetic algorithm-optimized backpropagation (GA-BP) ...

We offer in this chapter a full development of the backpropagation for convolutional neural networks and we summarize the algorithms so that the practitioner can program it. Still, most importantly, ...

The head of Turkey's parliament and Iran, along with a Turkish parliamentary representative, highlighted the stability in ...

Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...

With the rapid growth of the international banking industry, bank failures can lead to severe economic losses and social ...

Werner Heisenberg submitted a paper to Zeitschrift für Physik entitled ‘On quantum-theoretical reinterpretation of kinematic and mechanical relationships’, thus giving birth to quantum mechanics. In ...

CNN denied that the Biden administration controlled who it let on its network, after a former Biden aide claimed Wednesday that the White House tried to get him blacklisted from the network for ...