Zn(II)‐Dipicolylamine‐Attached Amphiphilic Polythiophene for Quantitative Pattern Recognition of Oxyanions in Mixtures

Adaptive mixtures: Recursive nonparametric pattern recognition

-We develop a method of performing pattern recognition (discrimination and classification) using a recursive technique derived from mixture models, kernel estimation and stochastic approximation. Unsupervised learning Density estimation Kernel estimator Mixture model Stochastic approximation Recursive estimation

A Quantitative Model for Pattern Recognition

This chapter describes a model for visual pattern recognition by pigeons that is an extension of a much more general model for learning and behavior described in earlier chapters in this series (Chase, 1983; Heinemann, 1983a,b). The model we present belongs to the class of template-matching model. The comparison process that may be loosely described as “template matching,” however, this is only...

pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)

فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...

Shape-controllable gold nanocrystallization using an amphiphilic polythiophene.

Fine shape-control of gold nanoparticles was achieved in the presence of an amphiphilic polythiophene with an isothiouronium pendant, by varying the experimental conditions for the crystallization; we succeeded to prepare π-conjugated polythiophene-capped Au nanoplates, Au nanocubes and Au nanoparticles with an average spherical diameter of (7.7 ± 1.6) nm.

Recent Advances in EMG Pattern Recognition for Prosthetic Control