Efficient VLSI Architecture for Training Radial Basis Function Networks
This paper presents a novel VLSI architecture for the training of radial basis function (RBF) networks. The architecture contains the circuits for fuzzy C-means (FCM) and the recursive Least Mean Square (LMS) operations.
Wen-Jyi Hwang, Zhe-Cheng Fan
doaj +1 more source
Peramalan Netflow Uang Kartal dengan Metode ARIMAX dan Radial Basis Function Network (Studi Kasus di Bank Indonesia) [PDF]
BI memiliki satu tujuan tunggal yakni mencapai dan menjaga kestabilan nilai rupiah. Salah satu hal yang dilakukan untuk memenuhi tujuan ini adalah dengan pemantauan netflow uang kartal dengan meramalkan netflow uang kartal. Penelitian ini bertujuan untuk
suhartono, S. (suhartono) +1 more
core
Influence of an Oxygen‐Free Atmosphere on Diamond‐Single‐Grain Scratching of Ti–6Al–4V
Single‐grain scratching of Ti–6Al–4V is investigated under controlled, oxygen‐free, and ambient atmospheres using a novel experimental setup with in situ high‐speed imaging. The approach enables direct observation of chip formation and adhesion under suppressed oxidation.
Berend Denkena +2 more
wiley +1 more source
New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold +2 more
wiley +1 more source
The Conical Radial Basis Function for Partial Differential Equations
The performance of the parameter-free conical radial basis functions accompanied with the Chebyshev node generation is investigated for the solution of boundary value problems.
J. Zhang, F. Z. Wang, E. R. Hou
doaj +1 more source
Artificial analysis of molecular marker loci linked to tree resistance response by an artificial neural network [PDF]
One of the biggest challenges that software developers face is to make an accurate estimate of the project effort. Radial basis function neural networks have been used to software effort estimation in this work using NASA dataset.
Castellanos Peñuela, Angel Luis +2 more
core +1 more source
Interaction of Ladle Slag With Varying SiO2 Content and Recyclate‐Based MgO–C Refractories
Ladle slags (CaO/Al2O3 = 1) with 1–20 wt% SiO2 were investigated in contact with industrial MgO–C refractories fabricated from fresh magnesia and 50 wt% recyclate. The sessile drop method at 1600°C reveals intensive gas formation, delayed slag infiltration in recyclate‐based samples, and, under high‐SiO2 slag, formation of a dense MgAl2O4‐rich ...
Anton Yehorov +6 more
wiley +1 more source
The use of the mesh free methods (radial basis functions) in the modeling of radionuclide migration and moving boundary value problems [PDF]
Recently, the mesh free methods (radial basis functions-RBFs) have emerged as a novel computing method in the scientific and engineering computing community.
Runovc, Franc +2 more
core
Convergence of the partial wave expansion of the He ground state
The Configuration Interaction (CI) method using a very large Laguerre orbital basis is applied to the calculation of the He ground state. The largest calculations included a minimum of 35 radial orbitals for each l ranging from 0 to 12 resulting in basis
Bromley +34 more
core +1 more source
Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere
In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May +9 more
wiley +1 more source

