Design and implementation of neural networks neurons with RadBas, LogSig, and TanSig activation functions on FPGA
Abstract Artificial Neural Networks (ANNs) are utilized in several key areas such as
prediction, classification, motor control, etc. When high performance is needed, FPGA …
prediction, classification, motor control, etc. When high performance is needed, FPGA …
A neuron library for rapid realization of artificial neural networks on FPGA: A case study of Rössler chaotic system
Artificial neural networks (ANNs) are implemented in hardware when software
implementations are inadequate in terms of performance. Implementing an ANN as …
implementations are inadequate in terms of performance. Implementing an ANN as …
Optimization of combinational logic circuits with genetic programming
S Karakatic, V Podgorelec, M Hericko - Elektronika ir Elektrotechnika, 2013 - eejournal.ktu.lt
In this paper we research the possibility of automated combinational logic circuit (CLC)
design using evolutionary computation. We propose and develop a genetic programming …
design using evolutionary computation. We propose and develop a genetic programming …
Microcontroller Based ANN for Pick and Place Robot Coordinate Monitoring System
S Raghul, N Mohankumar - ICDSMLA 2019: Proceedings of the 1st …, 2020 - Springer
Industrial Robots have captivated the manufacturing process of a product in the present
assembly lines. The pick and place robot plays a vital role in this process for handling the …
assembly lines. The pick and place robot plays a vital role in this process for handling the …
Polynomial curve fitting with varying real powers
B Cetisli, H Kalkan - Elektronika ir Elektrotechnika, 2011 - eejournal.ktu.lt
In this study, the polynomial curve fitting is expanded with real powers by combining the
genetic algorithm and the traditional least squares estimator. In general, integer values are …
genetic algorithm and the traditional least squares estimator. In general, integer values are …
[PDF][PDF] Fuzzy controller parameter optimization using genetic algorithm for a real time controlled system
TT Erguzel - Proceedings of the World Congress on Engineering, 2013 - academia.edu
In this paper, a methodology for combining genetic algorithm (GA) and fuzzy controller (FC)
to create a geneticfuzzy approach (GA-FC) is presented. Using GA, fuzzy rules and …
to create a geneticfuzzy approach (GA-FC) is presented. Using GA, fuzzy rules and …
Optimization of a mini-golf game using the genetic algorithm
A Coskun - Elektronika ir Elektrotechnika, 2011 - eejournal.ktu.lt
While playing golf, it is important that the ball must be conveyed to the defined target point by
making the minimum number of shots. The chosen algorithm and the applying techniques …
making the minimum number of shots. The chosen algorithm and the applying techniques …
A Review of Neuromorphic Computing: A Promising Approach for the IoT-Based Smart Manufacturing
Covid-19 has transformed the working pattern of the manufacturing sector and made
Industry 5.0 more feasible. With the new norms of social distancing, transformations have …
Industry 5.0 more feasible. With the new norms of social distancing, transformations have …
Fpga based improved hardware implementation of booth wallace multiplier using handel c
Applications requiring intensive arithmetic operations such as multiplication are
exponentially increasing than ever before. The state of art FPGAs are the preferred …
exponentially increasing than ever before. The state of art FPGAs are the preferred …
Neuro inspired genetic hybrid algorithm for active power dispatch planning problem in small scale system
NS Tung - International Journal of Hybrid Information Technology, 2015 - earticle.net
Allocation of optimum active power is a backbone of power system generation planning and
its high impact contribution is the need of current electrical utilities and power engineers …
its high impact contribution is the need of current electrical utilities and power engineers …