The optimized BPNN model architecture was based on the sigmoid transfer function and has one hidden layer with ten nodes. The BPNN model showed excellent predictability of five properties: Tensile strength (r: 0.96), yield strength (r: 0.93), beta transus (r: 0.96), specific heat capacity (...
The advantages and disadvantages of using common neural networks in CRM are discussed firstly, then a knowledge-based neural network is proposed to be used in CRM. 分析一般神经网络应用于CRM时存在的问题,提出将基于知识的神经网络应用到CRM领域。 更多例句>> 5...
Application, Theoretical or Mathematical/ Bayes methods circuit CAD fin lines finite element analysis integrated circuit design learning (artificial intelligence) millimetre wave integrated circuits neural nets/ knowledge-based ANN models artificial neural network models finline MM-wave IC design MM-wave int...
artificial neural network.Because of the low convergence speed of BP(back propagation) learning algorithm for feed forward neural network and lack of prior knowledge in the fitting non-linear function,a KBANN(knowledge-based artificial neural network) is put forward to determine the best subdividing...
(updating of the network weights) then proceeds as normal, using the structure. The result could be thought of as learning weighted forms of the antecedents present in the rules. The most popular and oldest work along this line is Knowledge-Based Artificial Neural Network (KBANN)13that ...
The KBNN predictive results are based on the empirical model and artificial neural network (ANN) modeling. The empirical model is constructed from the FEA results using response surface method, while the multilayer perceptron is employed to create the ANN. The trained KBNN can accurately model the...
2, we can initially determine that international research on teaching performance has focused on five main themes, namely 'student assessment,' 'case studies,' 'medical education,' 'academic achievement', and 'artificial intelligence,' which are arranged vertically by size in the figure, ...
This paper describes a new effort to evaluate parallel architectures applied to knowledge-based machine vision. Previous vision benchmarks have considered ... CC Weems,EM Riseman,AR Hanson,... - 《Journal of Parallel & Distributed Computing》 ...
In this paper, a hybrid multi-fidelity optimization approach based on a knowledge-based artificial neural network (KBNN) was used to determine the optimal heating strategy in warm forming processes. First, a less costly, but less accurate isothermal finite element analysis (FEA), which neglected ...
国外独立评测机构Artificial Analysis在测试后声称,DeepSeek-V3超越了迄今为止所有开源模型。 DeepSeek-V3的训练仅使用2048个H800 GPU,总训练GPU卡时为2788千小时(其中预训练为2664千小时)。 与之相对比,根据黄仁勋在GTC2024上的演讲内容,GPT-4 MoE使用8000个H100训练了90天,合计约为17280千卡时,相当于DeepSeek-V3...