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Control chart has been widely used to determine whether the state of machining process is stable or not, and pattern recognition
technology is often used to automatically judge the changing modes of control chart. It is because that the abnormal patterns
of a control chart can reveal the potential problem of machining quality. In order to improve the recognition rate and efficiency
of control chart patterns, a neural network-numerical fitting (NN-NF) model is proposed to recognize different control chart
patterns. A back propagation (BP) network is first used to recognize control chart patterns preliminarily. And then, numerical
fitting method is adopted to estimate the parameters and specific types of the patterns, which is different from the traditional
neural network-based control chart pattern recognition methods. Based on this, Monte Carlo simulation is used to generate
training and testing data samples. The results of simulated experiment show that training time of this NN-NF model can be
reduced. At the same time, the recognition rate can also be improved. At last, a real example is also provided to illustrate
the NN-NF model. 相似文献
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先用换热器回收熔化炉的烟气余热来提高助燃空气温度,再直接利用经过换热器后的烟气来烘干铁砂,不仅能大幅度降低能耗,而且产品质量及生产能力都有很大提高,效果非常理想。 相似文献
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Qianhao Yang Haohao Yin Tianming Xu Daoyu Zhu Junhui Yin Yixuan Chen Xiaowei Yu Junjie Gao Changqing Zhang Yu Chen Youshui Gao 《Small (Weinheim an der Bergstrasse, Germany)》2020,16(14)
The rising concerns of the recurrence and bone deficiency in surgical treatment of malignant bone tumors have raised an urgent need of the advance of multifunctional therapeutic platforms for efficient tumor therapy and bone regeneration. Herein, the construction of a multifunctional biomaterial system is reported by the integration of 2D Nb2C MXene wrapped with S‐nitrosothiol (R? SNO)‐grafted mesoporous silica with 3D‐printing bioactive glass (BG) scaffolds (MBS). The near infrared (NIR)‐triggered photonic hyperthermia of MXene in the NIR‐II biowindow and precisely controlled nitric oxide (NO) release are coordinated for multitarget ablation of bone tumors to enhance localized osteosarcoma treatment. The in situ formed phosphorus and calcium components degraded from BG scaffold promote bone‐regeneration bioactivity, augmented by sufficient blood supply triggered by on‐demand NO release. The tunable NO generation plays a crucial role in sequential adjuvant tumor ablation, combinatory promotion of coupled vascularization, and bone regeneration. This study demonstrates a combinatory osteosarcoma ablation and a full osseous regeneration as enabled by the implantation of MBS. The design of multifunctional scaffolds with the specific features of controllable NO release, highly efficient photothermal conversion, and stimulatory bone regeneration provides an intriguing biomaterial platform for the diversified treatment of bone tumors. 相似文献
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