A fuzzy neural network (FNN) model is developed to predict the 4-CBA concentration of the oxidation unit in purified terephthalic acid process. Several technologies are used to deal with the process data before modeli...A fuzzy neural network (FNN) model is developed to predict the 4-CBA concentration of the oxidation unit in purified terephthalic acid process. Several technologies are used to deal with the process data before modeling.First,a set of preliminary input variables is selected according to prior knowledge and experience. Secondly,a method based on the maximum correlation coefficient is proposed to detect the dead time between the process variables and response variables. Finally, the fuzzy curve method is used to reduce the unimportant input variables.The simulation results based on industrial data show that the relative error range of the FNN model is narrower than that of the American Oil Company (AMOCO) model. Furthermore, the FNN model can predict the trend of the 4-CBA concentration more accurately.展开更多
Decreasing the acetic acid consumption in purified terephthalic acid (PTA) solvent system has become a hot issue with common concern. In accordance with the technical features, the electrical conductivity is in dire...Decreasing the acetic acid consumption in purified terephthalic acid (PTA) solvent system has become a hot issue with common concern. In accordance with the technical features, the electrical conductivity is in direct proportion to the acetic acid content. General regression neural network (GRNN) is used to establish the model of electrical conductivity on the basis of mechanism analysis, and then particle swarm optimization (PSO) algorithm with the improvement of inertia weight and population diversity is proposed to regulate the operating conditions. Thus, the method of decreasing the acid loss is derived and applied to PTA solvent system in a chemical plant. Cases studies show that the precision of modeling and optimization are higher. The results also provide the optimal operating conditions, which decrease the cost and improve the profit.展开更多
Considering the non-linear, complex and muhivariable process of biological denitrification, an activated sludge process was introduced to remove nitrate in groundwater with the aid of artificial neural networks (ANN...Considering the non-linear, complex and muhivariable process of biological denitrification, an activated sludge process was introduced to remove nitrate in groundwater with the aid of artificial neural networks (ANN) to evaluate the nitrate removal effect: The parameters such as COD, NH3-N, NO3^- -N, NO2^- -N, MISS, DO, etc. , were used for input nodes, and COD, NH3-N, NO3^- -N, NO2^- -N were selected for output nodes. Experimental ANN training results show that ANN was able to predict the output water quality parameters very well. Most of relative errors of NO3^- -N and COD were in the range of ± 10% and ±5% respectively. The results predicted by ANN model of nitrate removal in groundwater produced good agreement with the experimental data. Though ANN model can optimize effect of the whole system, it cannot replace the water treatment process.展开更多
We investigated the distribution of four enzymes involved in the immune response of Apostichopus japonicus. We collected samples of the tentacles, papillate podium, integument, respiratory tree, and digestive tract an...We investigated the distribution of four enzymes involved in the immune response of Apostichopus japonicus. We collected samples of the tentacles, papillate podium, integument, respiratory tree, and digestive tract and stained them for acid phosphatase (ACP), alkaline phosphatase (AKP), non-specific esterase (NSE) and peroxidase (POD) activity. The distribution and content of ACE AKP, NSE, and POD differed among the tissues. The coelomic epithelium of the tentacle, papillate podium, and integument and the mucous layer of respiratory tree were positive for ACP activity. The coelomic epithelium and cuticular layer of the tentacle, papillate podium, and integument and the mucous layer and tunica externa of the respiratory tree and digestive tract stained positive or weakly positive for AKP activity. Almost all the epithelial tissues stained positive, strongly positive, or very strongly positive for NSE activity. The cuticular layer of the tentacle and integument and the mucous layer, tunica submucosa, and tunica externa of the respiratory tree and digestive tract stained positive for POD activity. We hypothesize that these enzymes play a role in the immune response in A. japonicus.展开更多
Owing to their safety and low cost,magnesium ion batteries(MIBs)have attracted much attention in recent years.However,the sluggish diffusion dynamics of magnesium ions hampers the search for appropriate cathode materi...Owing to their safety and low cost,magnesium ion batteries(MIBs)have attracted much attention in recent years.However,the sluggish diffusion dynamics of magnesium ions hampers the search for appropriate cathode materials with excellent electrochemical performance.Herein,we design and synthesize a novel flexible three-dimensional-networked composite of iron vanadate nanosheet arrays/carbon cloths(3 D FeVO/CC)as a binder-free cathode for MIBs.Relative to bare FeVO nanosheets,the 3 D binder-free electrode with designed architecture enables a full range of electrochemical potential,including a high specific capacity of270 mA h g^(-1) and an increased life span(over 5000 cycles).Such achievable high-density energy originates from the synergistic optimization of electron and ion kinetics,while the durability benefits from the robust structure that prevents degradation in cycling.The single-phase reaction mechanism of FeVO in the magnesium ion storage process is also explored by in-situ X-ray diffraction and Raman technologies.Moreover,a flexible MIB pouch cell(3 D FeVO/CCIMgNaTi_(3)O_(7)) is assembled and exhibits practical application potential.This work verifies that 3 D FeVO/CC is a potential candidate cathode material that can satisfy the requirements of highperformance MIBs.It also opens a new avenue to improve the electrochemical performance of cathode materials for MIBs.展开更多
基金Supported by the National Outstanding Youth Science Foundation of China (No. 60025308).
文摘A fuzzy neural network (FNN) model is developed to predict the 4-CBA concentration of the oxidation unit in purified terephthalic acid process. Several technologies are used to deal with the process data before modeling.First,a set of preliminary input variables is selected according to prior knowledge and experience. Secondly,a method based on the maximum correlation coefficient is proposed to detect the dead time between the process variables and response variables. Finally, the fuzzy curve method is used to reduce the unimportant input variables.The simulation results based on industrial data show that the relative error range of the FNN model is narrower than that of the American Oil Company (AMOCO) model. Furthermore, the FNN model can predict the trend of the 4-CBA concentration more accurately.
基金Supported by the National Natural Science Foundation of China (60774079), the National High Technology Research and Development Program of China (2006AA04Z184), and Sinopec Science & Technology Development Project of China (205073).
文摘Decreasing the acetic acid consumption in purified terephthalic acid (PTA) solvent system has become a hot issue with common concern. In accordance with the technical features, the electrical conductivity is in direct proportion to the acetic acid content. General regression neural network (GRNN) is used to establish the model of electrical conductivity on the basis of mechanism analysis, and then particle swarm optimization (PSO) algorithm with the improvement of inertia weight and population diversity is proposed to regulate the operating conditions. Thus, the method of decreasing the acid loss is derived and applied to PTA solvent system in a chemical plant. Cases studies show that the precision of modeling and optimization are higher. The results also provide the optimal operating conditions, which decrease the cost and improve the profit.
基金National Hi-Tech Research and Development Program of China (Grant No.863-2003AA601120).
文摘Considering the non-linear, complex and muhivariable process of biological denitrification, an activated sludge process was introduced to remove nitrate in groundwater with the aid of artificial neural networks (ANN) to evaluate the nitrate removal effect: The parameters such as COD, NH3-N, NO3^- -N, NO2^- -N, MISS, DO, etc. , were used for input nodes, and COD, NH3-N, NO3^- -N, NO2^- -N were selected for output nodes. Experimental ANN training results show that ANN was able to predict the output water quality parameters very well. Most of relative errors of NO3^- -N and COD were in the range of ± 10% and ±5% respectively. The results predicted by ANN model of nitrate removal in groundwater produced good agreement with the experimental data. Though ANN model can optimize effect of the whole system, it cannot replace the water treatment process.
基金Supported by the Special Financed Project from the Basic Public Scientific Research Expenses of Central Scientific Institutes (No GY02-2007B03)
文摘We investigated the distribution of four enzymes involved in the immune response of Apostichopus japonicus. We collected samples of the tentacles, papillate podium, integument, respiratory tree, and digestive tract and stained them for acid phosphatase (ACP), alkaline phosphatase (AKP), non-specific esterase (NSE) and peroxidase (POD) activity. The distribution and content of ACE AKP, NSE, and POD differed among the tissues. The coelomic epithelium of the tentacle, papillate podium, and integument and the mucous layer of respiratory tree were positive for ACP activity. The coelomic epithelium and cuticular layer of the tentacle, papillate podium, and integument and the mucous layer and tunica externa of the respiratory tree and digestive tract stained positive or weakly positive for AKP activity. Almost all the epithelial tissues stained positive, strongly positive, or very strongly positive for NSE activity. The cuticular layer of the tentacle and integument and the mucous layer, tunica submucosa, and tunica externa of the respiratory tree and digestive tract stained positive for POD activity. We hypothesize that these enzymes play a role in the immune response in A. japonicus.
基金supported by the National Key Research and Development Program of China(2020YFA0715000)the National Natural Science Foundation of China(51832004 and 51972259)+1 种基金the Natural Science Foundation of Hubei Province(2019CFA001)Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory(XHT2020-003)。
文摘Owing to their safety and low cost,magnesium ion batteries(MIBs)have attracted much attention in recent years.However,the sluggish diffusion dynamics of magnesium ions hampers the search for appropriate cathode materials with excellent electrochemical performance.Herein,we design and synthesize a novel flexible three-dimensional-networked composite of iron vanadate nanosheet arrays/carbon cloths(3 D FeVO/CC)as a binder-free cathode for MIBs.Relative to bare FeVO nanosheets,the 3 D binder-free electrode with designed architecture enables a full range of electrochemical potential,including a high specific capacity of270 mA h g^(-1) and an increased life span(over 5000 cycles).Such achievable high-density energy originates from the synergistic optimization of electron and ion kinetics,while the durability benefits from the robust structure that prevents degradation in cycling.The single-phase reaction mechanism of FeVO in the magnesium ion storage process is also explored by in-situ X-ray diffraction and Raman technologies.Moreover,a flexible MIB pouch cell(3 D FeVO/CCIMgNaTi_(3)O_(7)) is assembled and exhibits practical application potential.This work verifies that 3 D FeVO/CC is a potential candidate cathode material that can satisfy the requirements of highperformance MIBs.It also opens a new avenue to improve the electrochemical performance of cathode materials for MIBs.