A Hybrid Forward Algorithm for RBF Neural Network Construction

This paper proposes a novel hybrid forward algorithm (HFA) for the construction of radial basis function (RBF) neural networks with tunable nodes. The main objective is to efficiently and effectively produce a parsimonious RBF neural network that generalizes well. In this study, it is achieved through simultaneous network structure determination and parameter optimization on the continuous parameter space. This is a mixed integer hard problem and the proposed HFA tackles this problem using an integrated analytic framework, leading to significantly improved network performance and reduced memory usage for the network construction. The computational complexity analysis confirms the efficiency of the proposed algorithm, and the simulation results demonstrate its effectiveness

Conditional cash transfer programs and the representations of poverty in Bolivia and Peru

Bolivia and Peru adopted the same instruments of social policy —conditional cash transfer programs— to solve the same public problems under different political regimes. By means of the qualitative methodology of discourse analysis, this paper studies the representations of poverty and State made by key actors of those social programs. Underlying more differences than similarities, one demonstrates that the same social policy is linked to opposite social representations of poverty and the State role in every country. The main explanation for this is, far from being imposed by international organizations, those programs are adopted and adapted by each political regime.

Modelling the correlation between processing parameters and properties of maraging steels using artificial neural network

An artificial neural network (ANN) model is developed for the analysis and simulation of the correlation between the properties of maraging steels and composition, processing and working conditions. The input parameters of the model consist of alloy composition, processing parameters (including cold deformation degree, ageing temperature, and ageing time), and working temperature. The outputs of the ANN model include property parameters namely: ultimate tensile strength, yield strength, elongation, reduction in area, hardness, notched tensile strength, Charpy impact energy, fracture toughness, and martensitic transformation start temperature. Good performance of the ANN model is achieved. The model can be used to calculate properties of maraging steels as functions of alloy composition, processing parameters, and working condition. The combined influence of Co and Mo on the properties of maraging steels is simulated using the model. The results are in agreement with experimental data. Explanation of the calculated results from the metallurgical point of view is attempted. The model can be used as a guide for further alloy development.

The role of a kinesin, KLP-20, on neural development and epidermal morphogenesis in Caenorhabditis elegans

The heterotrimeric kinesin-II motor in Caenorhabditis elegans consists of KLP-20, KLP-11, and KAP-1 subunits and broadly functions in cellular transport for the development of biological structures including cilia and axons. The results of this paper support the ubiquitous and necessary role kinesin-II motors have in development, particularly the KLP-20 microtubule-associating subunit. Mutations in klp-20 result in a variable abnormal (vab) phenotype characterized by observable epidermal defects, although the role of this gene in development and the mechanism by which the vab phenotype is produced is largely unknown. The vab phenotype is highly penetrant in the first larval stage (L1) of C. elegans, which supports that klp-20 functions in early development. Ciliated amphid sensory neurons can be stained with a fluorescent dye, DiI, to simultaneously test cilia structure and function, as well as the morphology of the amphid sensory organ. Reduced dye uptake in klp-20 mutant L1s suggests that the microtubule-based cilia are under-developed as a result of defective kinesin-II function. Consistent observations of the PLM mechanosensory neuron using the zdIs5 reporter suggest that klp-20 has an essential role in neuron development, as mutations to klp-20 result in under-developed PLM axons. Qualitative observations suggest there may be an interaction between the development of the overlying epidermis and the underlying nervous system, as a more severe vab phenotype is observed simultaneously with reduced dye uptake, and hence amphid sensory cilia under-development. Furthermore, a more severe vab phenotype manifested as large bumps on the posterior epidermis appears to be spatially correlated with PLM defects. The results presented and discussed in this paper suggest that KLP-20 has a necessary role in neurodevelopment and epidermal morphogenesis in C. elegans during embryogenesis.

Neural network controlled three-phase four-wire shunt active powerfilter

A three-phase four-wire shunt active power filter for harmonic mitigation and reactive power compensation in power systems supplying nonlinear loads is presented. Three adaptive linear neurons are used to tackle the desired three-phase filter current templates. Another feedforward three-layer neural network is adopted to control the output filter compensating currents online. This is accomplished by producing the appropriate switching patterns of the converter's legs IGBTs. Adequate tracking of the filter current references is obtained by this method. The active filter injects the current required to compensate for the harmonic and reactive components of the line currents, Simulation results of the proposed active filter indicate a remarkable improvement in the source current waveforms. This is reflected in the enhancement of the unified power quality index defined. Also, the filter has exhibited quite a high dynamic response for step variations in the load current, assuring its potential for real-time applications