CHAOTIC STATES OF A MULTILAYER NEURAL NETWORK
نویسندگان
چکیده
The study of the influence learning speed η on process a multilayer neural network was studied. program for written in Python. We determined at which best is observed. To analyze impact process, logistic function used, describes doubling frequency. It shown that error characterized by bifurcation processes lead to chaotic state η> 0.8. optimal value determined, determines appearance number local minima. Increasing hidden layers and neurons each layer does not radical change diagram logistics function, hence speed. increase layers, as well them, with increasing accompanied state. lack process. Using Fourier transform depending investigated. On basis these researches definition size optimum training developed. text article adds codes ability build branching determine presence or absence taking into account error. Key words : network, speed, bifurcations, states.
منابع مشابه
LIQUEFACTION POTENTIAL ASSESSMENT USING MULTILAYER ARTIFICIAL NEURAL NETWORK
In this study, a low-cost, rapid and qualitative evaluation procedure is presented using dynamic pattern recognition analysis to assess liquefaction potential which is useful in the planning, zoning, general hazard assessment, and delineation of areas, Dynamic pattern recognition using neural networks is generally considered to be an effective tool for assessing of hazard potential on the b...
متن کاملGeneralization ability of a multilayer neural network
We investigate the generalization ability of a perceptron with non-monotonic transfer function of a reversed-wedge type in on-line mode. This network is identical to a parity machine, a multilayer network. We consider several learning algorithms. By the perceptron algorithm the generalization error is shown to decrease by the α−1/3-law similarly to the case of a simple perceptron in a restricte...
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 کاملCryptanalysis of a Chaotic Neural Network based Chaotic Cipher
Recently a Triple key encryption method based on logistic map was proposed. The present paper analysis the security of the proposed encryption method and points out that it can be easily broken by one pair of known/chosen plain-text attack which is supported by mathematical proof and experimental result. In addition, some other security defects are also reported.
متن کاملImage compression using a multilayer neural network
A property of neural networks is their ability to construct feature detectors as a result of supervised or unsupervised training. We demonstrate that a class of neural networks which produces topographic mappings [1] may be used to data compress SAR images. In Section II we summarise Kohonen's network learning algorithm, and we present an improved version of the algorithm in Section III. In Sec...
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: Elektronìka ta ìnformacìjnì tehnologìï
سال: 2021
ISSN: ['2224-0888', '2224-087X']
DOI: https://doi.org/10.30970/eli.16.3