一种基于BP算法学习的小波神经网络

为发展 Szu的基于信号表示的小波神经网络 ,提出一种多输入多输出的小波网络模型 ,网络隐层采用框架小波函数、输出层采用 Sigmoid激励函数 ,并选用“熵误差函数”以加速网络的学习速度。奇偶判别和混沌时间序列预测例子的实验结果表明了它具有良好的函数逼近能力和推广能力 ,收敛速度和均方误差均优于相同结构的多层感知器模型。     

Monitoring the Kuroshio Extension with Dynamically Constrained Synthesis of the Acoustic Tomography, Satellite Altimeter and in situ Data

A finite-difference quasigeostrophic (QG) model of an open ocean region has been employed to produce a dynamically constrained synthesis of acoustic tomography and satellite altimetry data with in situ observations. The assimilation algorithm is based upon the 4D variational data interpolation scheme controlled by the model's initial and boundary conditions. The data sets analyzed include direct and differential travel times measured at the array of five acoustic transceivers deployed by JAMSTEC in the region of the Kuroshio Extension in 1997, Topex/Poseidon altimetry, CTD soundings, and ADCP velocity profiles. The region monitored is located within the area 27.5°–36.5°N, 143°–155°. The results of assimilation show that mesoscale variability can be effectively reconstructed by five transceivers measuring direct and reciprocal travel times supported by relatively sparse in situ measurements. The misfits between model and data lie within the observational error bars for all the data types used in assimilation. We have compared the results of assimilation with the statistical inversion of travel time data and analyzed energy balances of the optimized model solution. Energy exchange between the depth-averaged and shear components of the observed currents reveals a weak decay of the barotropic mode at the rate of 0.2 ± 0.7⋅10⁻⁵ cm²/s³ due to topographic interaction. Mean currents in the region are unstable with an estimate of the available potential energy flux from the mean current to the eddies of 4.7 ± 2.3⋅10⁻⁵ cm²/s³. Kinetic energy transition has the same sign and is estimated as 2.8 ± 2.5⋅10⁻⁵ cm²/s³. Potential enstrophy is transferred to the mesoscale at a rate of 5.5 ± 2.7⋅10⁻¹⁸ s⁻³. These figures provide observational evidence of the properties of free geostrophic turbulence which were predicted by theory and observed in numerical experiments. This revised version was published online in July 2006 with corrections to the Cover Date.     

A Preliminary Study of Quantitative Distribution of Benthic Animals in the East China Sea Continental Shelf and Its Adiacent Waters

In October and November of 1977 and September and October of 1978,a quantitative survey of benthic animals was conducted in the East China Sea Continental Shelf and its adjacent waters(26°00'-34°00'N,124°00'-129°00'E,water depth 39-1550m),where 307 stations were dredged and 1200 samples collected.     

黄河水中胱氨酸对铅(Ⅱ)与悬浮粒子相互作用的影响

研究了黄河水中胱氨酸对铅(Ⅱ)与悬浮粒子相互作用的离子交换率E(%)-pH关系曲线的影响.结果表明:(1)2.0 u mol·L-1 的胱氨酸降低了离子交换率E(%);(2)与未加有机物相比"S型曲线"左移0.95个pH单位;(3)随着胱氨酸浓度的增加,离子交换率提高.     

黄海海域陆相中生界油气远景

黄海海域油气勘探已40余载，尚未实现油气突破，其找油前景引起石油地质学家的极大关注。根据前人的认识和最新研究成果，结合邻区油气地化资料，探讨了黄海海域中生界地层生、储、盖特征，特别是白垩系，它分布广，厚度大，烃源岩达到较好生油岩标准，并且生、储、盖组合理想，中生界是该区下部油气勘探首选目标。     

海带中细胞激动素的纯化分离方法

海带样品于 2 0 0 1年采自青岛太平角海湾 ,用三种不同方法处理样品 ,通过对实验方法及条件的筛选 ,确立了提取、纯化和分离海带中细胞激动素的方法步骤和流程。结果表明 ,最佳方法的基本步骤为 :( 1 )用甲醇∶水∶醋酸 ( 70∶ 30∶ 3,V/V/V)从海带组织中提取出细胞激动素 ,再用PVPP柱去除提取液中的酚类和其他杂质 ;( 2 )将提取液通过连在一起的PVPP柱、DEAE柱和C1 8柱 ,以纯化样品并同时从自由基、核苷、核苷酸和葡糖苷型细胞激动素混合物中分离出核苷酸型细胞激动素 ;( 3)用接有氨基柱的正相液相色谱进一步将葡糖苷型细胞激动素分离出来 ;( 4 )用C1 8液相色谱柱分离其他各种细胞激动素     

海水中液-固界面的台阶型动力学曲线 Ⅰ.动力学曲线之台阶的消长和变化规律

对海水中Zn(Ⅱ),Ca(Ⅱ),Cd(Ⅱ)与高岭石、伊利石和蒙脱石等粘土矿物;无定形水合氧化铁、α-FeOOH等铁的水合氧化物;δ-MaO_2,γ-MnOOH,水锰矿等锰的水合氧化物等30个左右实验体系的液-固界面台阶型动力学曲线进行了系统的实验测定和全面的条件研究。在实验测定上提出两种方法、互为校核。对动力学曲线之台阶的消长和变化规律作了系统研究,确定主要影响因素是:金属离子初始浓度、固体交换剂量、体系的pH值和温度,以及搅拌速度等。     

I(L)值完全诱导空间

作者引入 I(L)值完全下半连续映射 ,研究其性质。利用 I(L)值完全下半连续映射定义I(L)值完全诱导空间 ,给出 I(L)值完全诱导空间的拓扑基的表达形式 ,证得两个 I(L)值完全诱导空间的映射是连续映射的充分必要条件 ,并建立了乘积空间的 I(L)值完全诱导空间与 I(L)值完全诱导空间的乘积空间的联系     

黄海海域陆相中生界地震反射特征及靶区优选

利用前人对黄海海域油气勘探成果，作者对北黄海盆地，南黄海盆地北部坳陷陆相中生界进行了研究。结果认为：黄海海域陆相中生界分布广、厚度大、具有良好的生、储、盖组合，是该区下步油气战略性调查的首选目标。并提出北黄海陆相中生界油气勘探应以东部凹陷为主，同时兼顾中部凹陷。南黄海北部坳陷近期油气勘探重点应选择北部凹陷和加大东北凹陷的研究力度。南黄海南部坳陷陆相中生界油气勘探重点放在南五和南七凹陷。     

Prediction of Load Carrying Capacity of Corroded Reinforced Concrete Beam

A novel method for prediction of the load carrying capacity of a corroded reinforced concrete beam (CRCB) is presented in the paper. Nine reinforced concrete beams, which had been working in an aggressive environment for more than 10 years, were tested in the laboratory. Comprehensive tests, including flexural test, strength test for corroded concrete and rusty rebar, and pullout test for bond strength between concrete and rebar, were condueted. The flexural test results of CRCBs reveal that the distribution of surface cracks on the beams shows a fractal behavior. The relationship between the fractal dimensions and mechanical properties of CRCBs is then studied. A prediction model based on artificial neural network (ANN) is established by the use of the fractal dimension as the corrosion index, together with the basic intbrmation of the beam. The validity of the prediction model is demonstrated through the experimental data, and satisfactory resuits are achieved.