Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array
In this paper, a combination of second order nonlinear function (SONF) and differential look-up table (differential LUT) is introduced as a sigmoid function for implementing the artificial neural network (ANN) in field programmable gate array (FPGA). Implementing ANN on FPGA will overcome the slow r...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6903/ http://umpir.ump.edu.my/id/eprint/6903/1/Two-Step_Implementation_of_Sigmoid_Function_for_Artificial_Neural_Network_in_Field_Programmable_Gate_Array.pdf |
| _version_ | 1848817881562742784 |
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| author | Syahrulanuar, Ngah Rohani, Abu Bakar Abdullah, Embong |
| author_facet | Syahrulanuar, Ngah Rohani, Abu Bakar Abdullah, Embong |
| author_sort | Syahrulanuar, Ngah |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | In this paper, a combination of second order nonlinear function (SONF) and differential look-up table (differential LUT) is introduced as a sigmoid function for implementing the artificial neural network (ANN) in field programmable gate array (FPGA). Implementing ANN on FPGA will overcome the slow response for real-time application and portable issues that arise in the software-based ANN. The output accuracy achieved by this two-step approach is ten times better than that of using only SONF and two times better than that of using conventional LUT. Thus the proposed idea is suitable to be implemented as a hardware-based ANN for various real-time applications. |
| first_indexed | 2025-11-15T01:28:49Z |
| format | Conference or Workshop Item |
| id | ump-6903 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:28:49Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-69032018-05-02T07:04:52Z http://umpir.ump.edu.my/id/eprint/6903/ Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array Syahrulanuar, Ngah Rohani, Abu Bakar Abdullah, Embong QA75 Electronic computers. Computer science In this paper, a combination of second order nonlinear function (SONF) and differential look-up table (differential LUT) is introduced as a sigmoid function for implementing the artificial neural network (ANN) in field programmable gate array (FPGA). Implementing ANN on FPGA will overcome the slow response for real-time application and portable issues that arise in the software-based ANN. The output accuracy achieved by this two-step approach is ten times better than that of using only SONF and two times better than that of using conventional LUT. Thus the proposed idea is suitable to be implemented as a hardware-based ANN for various real-time applications. 2014-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6903/1/Two-Step_Implementation_of_Sigmoid_Function_for_Artificial_Neural_Network_in_Field_Programmable_Gate_Array.pdf Syahrulanuar, Ngah and Rohani, Abu Bakar and Abdullah, Embong (2014) Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array. In: IEEE Symposium on Computers & Informatics (ISCI 2014) , 28-29 September 2014 , Kota Kinabalu, Sabah. pp. 1-4.. (Published) |
| spellingShingle | QA75 Electronic computers. Computer science Syahrulanuar, Ngah Rohani, Abu Bakar Abdullah, Embong Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array |
| title | Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array |
| title_full | Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array |
| title_fullStr | Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array |
| title_full_unstemmed | Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array |
| title_short | Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array |
| title_sort | two-step implementation of sigmoid function for artificial neural network in field programmable gate array |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/6903/ http://umpir.ump.edu.my/id/eprint/6903/1/Two-Step_Implementation_of_Sigmoid_Function_for_Artificial_Neural_Network_in_Field_Programmable_Gate_Array.pdf |