Measuring equipment and test bench to control evolution of acoustic-deformation and heat fields induced in solids under failure by fluids

The authors have developed a procedure and a test bench for studying evolution of various nature physical fields in modeling geomedium fracture by fluids. The test bench performs synchronous recording of macro- and micro-deformation, heat and acoustic emission induced in physical models of geomedium under loading to discontinuity. The experimental procedure has been trialed. The analysis of the synchronized test data allows a conclusion on the existence of time–space relationship between different nature physical fields induced during failure of solids.     

Determining hearing threshold from brain stem evoked potentials.Optimizing a neural network to improve classification performance

Feed-forward neural networks in conjunction with back-propagation are an effective tool to automate the classification of biomedical signals. Most of the neural network research to date has been done with a view to accelerate learning speed. In the medical context, however, generalisation may be more important than learning speed. With the brain stem auditory evoked potential classification task described in this study, the authors found that parameter values that gave fastest learning could result in poor generalisation. In order to achieve maximum generalisation, it was necessary to fine tune the neural net for gain, momentum, batch size, and hidden layer size. Although this maximization could be time consuming, especially with larger training sets, the authors' results suggest that fine tuning parameters can have important clinical consequences, which justifies the time involved. In the authors' case, fine tuning parameters for high generalisation had the additional effect of reducing false negative classifications, with only a small sacrifice in learning speed     

Scale effect in high-rate (spall) failure

Experimental results on the spall strength of copper in which the scale of the system was changed by a factor of ten show that the scale effect for high-rate one-dimensional strain depends on energy. The spall energy per unit surface area for failure increases with time. Arzamas-16. Translated from Fizika Goreniya i Vzryva, Vol. 29, No. 6, pp. 88–93, November–December, 1993.     

Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference

Financial forecasting is an example of a signal processing problem which is challenging due to small sample sizes, high noise, non-stationarity, and non-linearity. Neural networks have been very successful in a number of signal processing applications. We discuss fundamental limitations and inherent difficulties when using neural networks for the processing of high noise, small sample size signals. We introduce a new intelligent signal processing method which addresses the difficulties. The method proposed uses conversion into a symbolic representation with a self-organizing map, and grammatical inference with recurrent neural networks. We apply the method to the prediction of daily foreign exchange rates, addressing difficulties with non-stationarity, overfitting, and unequal a priori class probabilities, and we find significant predictability in comprehensive experiments covering 5 different foreign exchange rates. The method correctly predicts the directionof change for the next day with an error rate of 47.1%. The error rate reduces to around 40% when rejecting examples where the system has low confidence in its prediction. We show that the symbolic representation aids the extraction of symbolic knowledge from the trained recurrent neural networks in the form of deterministic finite state automata. These automata explain the operation of the system and are often relatively simple. Automata rules related to well known behavior such as tr end following and mean reversal are extracted.     

Direct and inverse heat-conduction problems for a semiinfinite rod for a partial outflow of heat through the surface

Analytical solutions of the direct and inverse problems of nonstationary heat conduction in a thin semiinfinite rod are given for the case of radiative heat fluxes at the lateral surfaces and a partial outflow of heat by convection and radiation through the end of the rod.Notation thermal diffusivity - x₁ coordinate along the length of the rod - t₁ time - t=t₁/d² dimensionless time (Fourier number) - x=X₁/d relative coordinate - T_o initial temperature - Boltzmann constant - Sk=aT_c ³d/ Stark number - Bi=d/ reduced Biot number - emissivity Translated from Inzhenero-Fizicheskii Zhurnal, Vol. 47, No. 1, pp. 148–153, July, 1984.     

On the distribution of performance from multiple neural-networktrials

The performance of neural network simulations is often reported in terms of the mean and standard deviation of a number of simulations performed with different starting conditions. However, in many cases, the distribution of the individual results does not approximate a Gaussian distribution, may not be symmetric, and may be multimodal. We present the distribution of results for practical problems and show that assuming Gaussian distributions can significantly affect the interpretation of results, especially those of comparison studies. For a controlled task which we consider, we find that the distribution of performance is skewed toward better performance for smoother target functions and skewed toward worse performance for more complex target functions. We propose new guidelines for reporting performance which provide more information about the actual distribution.     

Particular Cases of the Calculation of the Errors (Uncertainties) of the Results of Direct Measurements with Multiple Observations

It is shown that an expression for the total error as defined in GOST 8.207-76 of the corrected results of a measurement possesses an anomaly when this error is less than one of its components, and that a similar anomaly occurs for the expanded uncertainty as defined in MI 2552-99. The error of uncorrected results of a measurement whose random component is distributed according to different laws is compared with calculations utilizing RD 50-453-84 and MI 1788-87.     

Shock d eformation diagram of fireclay

A method is proposed for constructing the shock compression and load-relief diagrams of a foam material when a one-dimensional stress-strain is realized in it. The method is based on the mathematical analysis of experimental information. The shock-compression and load-relief diagrams of fireclay (strain rate ε=10² sec⁻¹) are constructed from the experimental data obtained in experiments on the compression of samples of this foam material. 5 figures. 10 references. NITs TIV OIVT RAN. Translated from Atomnaya énergiya, Vol. 88, No. 1, pp. 38–43, January, 2000     

剑麻纤维/聚丙烯木塑复合材料的热氧老化性能研究

以剑麻纤维(SF)、聚丙烯(PP)为原料,经熔融共混、模压成型工艺制备木塑复合材料。探讨了SF/PP复合材料的力学性能、热性能随老化时间和SF含量的变化规律,借助扫描电镜对复合材料老化前后的冲击断面进行微观结构分析。结果表明:老化后复合材料的冲击强度、弯曲强度和弯曲模量随剑麻含量的增加而降低;同时,复合材料中PP相的结晶速率、结晶度也有所降低,但复合材料的热稳定性基本没有变化。     

芳纶纸蜂窝复合材料车削工艺性研究

芳纶纸蜂窝复合材料的车削加工中,易出现结构破损及表观质量差等质量问题。研究从分析芳纶纸蜂窝材料车削加工工艺特性入手,讨论影响芳纶纸加工的关键因素,据此进行刀具选材及几何角度优化设计,设定合适的转速、进给量等车削工艺参数,提出了若干适合实际操作的工艺技巧,最大限度保证刀具刃部有效切断芳纶纸纤维,避免各种加工质量问题。