Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.

The Self-Organizing Map

Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems. In this entry, we introduce ANN using familiar econometric terminology and provide an overview of ANN modeling approach and its implementation methods. † Correspondence: Chung-Ming Kuan, Institute of Economics, Academia Sinica, 128 Academia Road, Sec. 2, Taipei 115, Taiwan; ckuan@econ.sinica.edu.tw. †† I would like to express my sincere gratitude to the editor, Professor Steven Durlauf, for his patience and constructive comments on early drafts of this entry. I also thank Shih-Hsun Hsu and Yu-Lieh Huang for very helpful suggestions. The remaining errors are all mine.

Artificial neural networks

An introduction to heat transfer

Solar Engineering Of Thermal Processes

This paper presents an investigation on irreversible refrigerator cycle based on external and internal irreversibilities considering finite heat capacities of external reservoirs. Finite temperature difference of the working fluid and external fluids causes the external irreversibility. The internal irreversibilities are caused by regenerative heat loss. Two objective functions including the coefficient of performance (COP) and has been considered simultaneously for maximisation and the normalised entropy generation rate of the refrigerator is minimised at the same time. Multi-objective evolutionary algorithms (MOEAs) based on NSGA-II algorithm has been employed while the Internal irreversibility parameter (I) and the temperatures of the fluid exchanging heat with the reservoir at the temperatures TH(Th) are considered as decision variables. Pareto optimal frontier has been performed and a final optimal solution has been chosen using various decision-making methods as well as the fuzzy Bellman-Zadeh, LINMAP and TOPSIS methods.

Thermodynamic optimisation of irreversible refrigerators base on NSGAII

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Assessment of the level of Navab inhabitants discontent with urban environment quality values

Integration of conductive silver sensors on zirconia ceramics by screen-printing for monitoring strain under applied load

QuiltEdge: Novel geostatistical workflow for heterogeneous reservoirs with an innovative combination of multi-variable image quilting and edge property concept to model heterogeneity and flow barriers

Mohammad Hossein Ahmadi

Papers

Thermodynamic optimisation of irreversible refrigerators base on NSGAII

Assessment of the level of Navab inhabitants discontent with urban environment quality values

Integration of conductive silver sensors on zirconia ceramics by screen-printing for monitoring strain under applied load

QuiltEdge: Novel geostatistical workflow for heterogeneous reservoirs with an innovative combination of multi-variable image quilting and edge property concept to model heterogeneity and flow barriers

Study of the prevalence rate of john’s disease in markazi province and evaluation of absorbed elisa for adoption as a diagnostic method