Hamming neural network application with FPGA device
نویسندگان
چکیده
The Hamming neural network is a kind of counterfeit system that substance two kinds layers (feed forward and repetitive layer). In this study, pattern entries are utilization in the binary number. first layer, nerves were as pure line work. subsequent three positive work utilization. Neural calculation was also implemented reproduction strategies (logical gate technique, programming program encryption strategy momentary square chart technique). study VHDL FPGA machine
منابع مشابه
Neural Network Implementation Using FPGA: Issues and Application
Hardware realization of a Neural Network (NN), to a large extent depends on the efficient implementation of a single neuron. FPGA-based reconfigurable computing architectures are suitable for hardware implementation of neural networks. FPGA realization of ANNs with a large number of neurons is still a challenging task. This paper discusses the issues involved in implementation of a multi-input ...
متن کاملDesign of New Transformer Protection Device Based on Wavelet Energy Entropy-Neural Network Theory and FPGA
Transformer differential protection may be of malfunction at the emergence of inrush current, and it will affect the normal operation of the transformer. So the paper puts forward a new application of wavelet energy spectrum entropy-neural network theory in transformer microcomputer protection, in which the multi-resolution analysis of wavelet transform and information entropy technology are co...
متن کاملDesign Neural Wireless Sensor Network Using FPGA
Wireless sensor networks(WSN) are an exiting emerging technology that scientists believe to become a part of every day life in the next few years. However, at this time many issues in wireless sensor networks remain unresolved. This paper studies the architecture of a neural wireless sensor network designed to identify technical condition of the base station of wireless sensor networks ,and thi...
متن کاملSmall World Neural Network Based on FPGA
Statistical analysis results have shown that small-world characteristics are widespread in the cerebral cortex neuron network, which has long been proven an effective method to investigate the brain anatomy and functions. From the perspective of hardware, we built the FHN neural network model with small-world connectivity using FPGA (Field Programmable Gate Array). As a result, we observe the p...
متن کاملImplementation of Neural Network on Parameterized FPGA
Artificial neural networks (ANNs, or simply NNs) are inspired by biological nervous systems and consist of simple processing units (artificial neurons) that are interconnected by weighted connections. Neural networks can be ”trained” to solve problems that are difficult to solve by conventional computer algorithms. This paper presents the development and implementation of a generalized back-pro...
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 Reconfigurable & Embedded Systems (IJRES)
سال: 2021
ISSN: ['2089-4864', '2722-2608']
DOI: https://doi.org/10.11591/ijres.v10.i1.pp37-46