A training sample sequence planning method for pattern recognition problems
نویسندگان
چکیده
منابع مشابه
A training sample sequence planning method for pattern recognition problems
In solving pattern recognition problems, many classification methods, such as the nearest-neighbor (NN) rule, need to determine prototypes from a training set. To improve the performance of these classifiers in finding an efficient set of prototypes, this paper introduces a training sample sequence planning method. In particular, by estimating the relative nearness of the training samples to th...
متن کاملPattern recognition with spiking neural networks: a simple training method
As computers are getting more pervasive, software becomes transferable to different types of hardware and, at the extreme, being bio-compatible. Recent efforts in Artificial Intelligence propose that software can be trained and taught instead of “hard-coded” sequences. This paper addresses the learnability of software in the context of platforms integrating biological components. A method for t...
متن کاملMicroARTMAP for pattern recognition problems
Pattern recognition is an important aspect of a dominant technology such as machine intelligence. Domain specific fuzzy-neuro models particularly for the ‘black box’ implementation of pattern recognition applications have recently been investigated. In this paper, Sanchez’s MicroARTMAP has been discussed as a pattern recognizer/classifier for the image processing problems. The model inherently ...
متن کاملOn sample complexity for computational pattern recognition
In this work we consider the task of pattern recognition in which the target (labelling) function is known to be computable on some Turing machine. It is easy to show that there exist a pattern recognition method for which the number of examples needed to approximate the target function with certain accuracy is linear in the length of the (unknown) program computing the target function. We inve...
متن کاملA Micropower Current-Mode Euclidean Distance Calculator for Pattern Recognition
In this paper a new synthesis for circuit design of Euclidean distance calculation is presented. The circuit is implemented based on a simple two-quadrant squarer/divider block. The circuit that employs floating gate MOS (FG-MOS) transistors operating in weak inversion region, features low circuit complexity, low power (<20uW), low supply voltage (0.5V), two quadrant input current, wide dyn...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Automatica
سال: 2005
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2004.10.012