Flexible linguistic pattern recognition

Learning Flexible Neural Networks for Pattern Recognition

Learning the gradient of neuron's activity function like the weight of links causes a new specification which is flexibility. In flexible neural networks because of supervising and controlling the operation of neurons, all the burden of the learning is not dedicated to the weight of links, therefore in each period of learning of each neuron, in fact the gradient of their activity function, coop...

Investigating Invariant Pattern Recognition Using a Flexible Development Environment

Scene is a flexible system in which users can produce monolithic systems or "unix style" piped systems consisting of a number of components each providing one operation. They can also use either of the two standalone systems provided. The software has been developed on a Sun 3/50 system miming SunOS 3.5. It is written in C and, apart from the display and device specific functions, would be easi...

Taxonomy of Flexible Linguistic Commitments

Beside strict linguistic commitments of models to metamodels, documents to schemata, programs to grammars and activities to protocols, we often require or crave more flexible commitments. Some of such types of flexible commitments are well-understood and even formalised, others are considered harmful. In this paper, we make an attempt to classify these types from the language theory point of vi...

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...

Linguistic control in speech recognition