N-bit Parity Implementation based on Binary Neural Networks with O(n/2) Neuron and O(2n) Connection
|
| Title | N-bit Parity Implementation based on Binary Neural Networks with O(n/2) Neuron and O(2n) Connection |
| Authors | |
| Abstract | In communication systems, n-bit parity problem (NPP) is widely used for error detection and correction. In this paper, an efficient architecture for hardware implementation of NPP is proposed. For this purpose, first we introduce extending single neuron that can be trained by perceptron learning rule to solve 2-bit and 3-bit parity problems. Then, we present novel architecture of cascaded modular neural networks, based on the presented neuron, with O(n/2) nodes and with O(2n) connections to solve NPP. The main advantages of proposed parity networks are low number of neurons, connecting weights and inputs for each neuron. |
| Publisher | World Science Publisher |
| Date | 2012-08-08 |
| Source | 2166-2924 |
| Rights | Copyright NoticeProposed Creative Commons Copyright Notices1. Proposed Policy for Journals That Offer Open AccessAuthors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work´s authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal´s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).Proposed Policy for Journals That Offer Delayed Open AccessAuthors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication, with the work [SPECIFY PERIOD OF TIME] after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work´s authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal´s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). |