Artificial neural network can be visualized as layers of interconnected “neurons,” where the connections are “weighted” depending on the type of relationship (Fig. 5). Neurons receive inputs from the previous layer where a calculation is performed before passing the output to the next laye...
In feed-forward neural network, when the input is given to the network before going to the next process, it guesses the output by judging the input value. After guess, it checks the guessing value to the desired output value. The difference between the guessing value and the desired output ...
DEVICE AND METHOD FOR EXECUTING FORWARD CALCULATION OF ARTIFICIAL NEURAL NETWORKThe present disclosure provides an apparatus for performing a forward computation of artificial neural networks, comprising an instruction cache unit, a controller unit, a direct memory access unit, an H tree module, a ...
calculation. However, the computational efficiency depends on the parallelization method and computer architecture. All computations reported in this paper utilized in-house software parallelized with MPI for training and with OpenMP for MD and MC simulations (see example in Supplementary Fig.14). ...
On the other hand, an artificial neural network is used to construct the prediction model of influencing factors for green development behavior adopted by construction enterprises, which is a new application of this method into the field of the construction industry. In terms of practical ...
Calculation method of ship collision force on bridge using artificial neural network. Journal of Zhejiang University-SCIENCE A , 9 (5):614–623. [:10.1631/jzus.A071556]FAN W,YUAN W C,FAN Q W.Calculation method of ship collision force on bridge using artificial neural network[J].浙江大学...
fig 1 BParti icialneuralnetwork orpredicting thixotropyo waxycrudeoilS 3 R-G 模型与人工神经网络模型学 习和预测原油触变应力的结果及 其分析 从表 1 中选出 组实验数据 ( 对应于 7 = 11. ~46.8~9 .6S 1 共 54 个样本 ) 为学习样本 集 并对网络进行训练 训练结果列于表 Z 中 ; 对 表 1 中...
in which \(\omega_{j} = (\omega_{0j} ,\omega_{1j} , \ldots ,\omega_{k - 1,j} )^{T}\), the weight calculation method of the artificial neural network is given, and the weight of the artificial neural network is weighted adaptively. Step 4. Find the minimum distance nodes in...
It is worth point out that back propagation is the most well-known and widely used error calculation method for neural network, however, one of its main drawbacks is the computational complexity particularly in a huge network. Network topology refers to the arrangement or structure of the ...
Figure 5 exemplifies this calculation and visualizes the resulting values for SOTA accuracy results of five AI models reported from October 2015 until April 2017 for the visual question answering benchmark ‘VQA v1 test-dev’. Fig. 5: Example of calculating the relative improvement in SOTA for ...