The specific heat of Cd Mn Se (x = 0.01) and Cd , Mn S (x = 0.026) in the temperature range of 0.3 - 40K was measured. The measurements were carried out in different applied magnetic fields (H = 0,10,20, 28KG). The results were analyzed with a model which includes long range interactions. Calculations based on on extended version of nearest neighbor pair approximation (including triplets)...

290 Word count: 4,418 Text + 3 Tables + 7 Figures = 7,168 Submission Date: August 1, 2008 Revised version submitted Date: November 15, 2008 Paper submitted for Presentation and Publication in the TRANSPORTATION RESEARCH RECORD, JOURNAL OF TRANSPORTATION RESEARCH BOARD AFTER BEING PRESENTED Transportation Research Board’s 88 Annual Meeting, Washington, D.C., 2009 (Revised on 11/15/08)

There have been many studies on the simultaneous approximation capability of feedforward neural networks (FNNs). Most of these, however, are only concerned with the density or feasibility of performing simultaneous approximations. This paper considers the simultaneous approximation of algebraic polynomials, employing Taylor expansion and an algebraic constructive approach, to construct a class ...

262 Word count: 4,729 Text + 4 Tables + 7 Figures = 7,479 Submission Date: August 1 st , 2007 Revised version submitted Date: November 15 th , 2007 Paper submitted for Presentation and Publication in the TRANSPORTATION RESEARCH RECORD, JOURNAL OF TRANSPORTATION RESEARCH BOARD AFTER BEING PRESENTED TRANSPORTATION RESEARCH BOARD’S 87 TH ANNUAL MEETING, WASHINGTON, D.C., 2008

This paper provides a model-free approach based on the Multi-Resolution Simultaneous Perturbation Stochastic Approximation (MR-SPSA) for maximizing power production of wind farms. The main advantage is that the method based on MR-SPSA can achieve fast controller tuning without any plant model by exploiting the information of the wind farm configuration such as turbines location and wind directi...

The main purpose of this paper is to consider the t-best co-approximation and t-best simultaneous co-approximation in fuzzy normed spaces. We develop the theory of t-best co-approximation and t-best simultaneous co-approximation in quotient spaces. This new concept is employed us to improve various characterisations of t-co-proximinal and t-co-Chebyshev sets.

The main purpose of this paper is to consider the t-best co-approximation and t-best simultaneous co-approximation in fuzzy normed spaces. We develop the theory of t-best co-approximation and t-best simultaneous co-approximation in quotient spaces. This new concept is employed us to improve various characterisations of t-co-proximinal and t-co-Chebyshev sets.