Analysis of FFANN Used for Pattern Recognition
نویسندگان
چکیده
منابع مشابه
Wavelet Analysis Used for Partial Discharge Pattern Recognition
An increasing problem of ageing cable insulation requires a development of certain methods for online conditioning and offline assessment. Thus, Partial Discharge (PD) monitoring is the most effective technique for assessment of insulation condition. PD monitoring and analysis has become imperative for utilities as well as for equipment manufacturers as it causes deterioration of insulation sys...
متن کاملNew Metrics for Sensitivity Analysis of FFANN
Abstract: An important issue in the design of a neural network is the sensitivity of its output to input and weight faults. In this paper, new fault metrics for sensitivity analysis is derived. The experimental derivation of the derived fault metrics is demonstrate that upper bound envelop exist with empirical error of the neural network. Correlation coefficient between MEANWSZ and derived sens...
متن کاملanalysis of ruin probability for insurance companies using markov chain
در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...
15 صفحه اولThe Application of Numerical Analysis Techniques to Pattern Recognition of Helicopters by Area Method
In this paper, a new method to selecting different viewing angles feature vector is introduced to recognition different types of Helicopters. Feature vector 32 components based on characteristics of the shape, Area and a length to describe a binary two-dimensional image was created, shape feature and length feature not only effective but area features effective and were used. New features vecto...
متن کاملAN IMPROVED CONTROLLED CHAOTIC NEURAL NETWORK FOR PATTERN RECOGNITION
A sigmoid function is necessary for creation a chaotic neural network (CNN). In this paper, a new function for CNN is proposed that it can increase the speed of convergence. In the proposed method, we use a novel signal for controlling chaos. Both the theory analysis and computer simulation results show that the performance of CNN can be improved remarkably by using our method. By means of this...
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: International Journal of Computer Science and Mobile Computing
سال: 2021
ISSN: 2320-088X
DOI: 10.47760/ijcsmc.2021.v10i03.007