SIRG-BSU_6.pptx

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This document appears to be a lecture on introduction to soft computing given by Dr. Ahmed Elngar of Beni-Suef University. It discusses artificial neural networks (ANN) and their structure, including feed-forward neural networks with single and multiple layers. It also covers the differences between feed-forward and recurrent networks, the number of nodes and layers used, and settings and processes for running and training neural networks, with the aim of evaluating IoT performance and proposing a secure architecture for addressing security issues in educational IoT systems.

Engineering

Lecture – 06
Introduction to soft computing
Dr. Ahmed Elngar
Faculty of Computers and Artificial Intelligence
Beni-Suef University
1
Dr. Ahmed Elngar
12/10/2022

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ANN (artificial neural network)

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Network structure
Backpropagation Networks

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Feed-forward Neural Network

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Single layer- Feed-forward Neural Network

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Feed-forward Neural Network

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Feed-forward Neural Network

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Multi Layer- Feed-forward Neural Network

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Feed-forward Neural Network

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Feed-forward Neural Network

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Feed-forward Neural Network

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Difference between Feed-forward and Recurrent

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Number of nodes and layers

Aim of our Research Group:
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The aim of our Scientific Innovation research Group
(SIRG) to evaluate the IOT performance by propose a
secure architecture for the IoT security issues for
Education.
12/10/2022

Thanks and Acknowledgement
Thank you
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12/10/2022

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SIRG-BSU_6.pptx

1. Lecture – 06 Introduction to soft computing Dr. Ahmed Elngar Faculty of Computers and Artificial Intelligence Beni-Suef University 1 Dr. Ahmed Elngar 12/10/2022

2. Course Syllabus 2 12/10/2022

3. 3 12/10/2022 ANN (artificial neural network)

4. 4 12/10/2022

5. 5 12/10/2022 Network structure Backpropagation Networks

33. 33 12/10/2022 Feed-forward Neural Network

34. 34 12/10/2022

35. 35 12/10/2022 Single layer- Feed-forward Neural Network

36. 36 12/10/2022 Feed-forward Neural Network

37. 37 12/10/2022 Feed-forward Neural Network

38. 38 12/10/2022 Multi Layer- Feed-forward Neural Network

39. 39 12/10/2022 Feed-forward Neural Network

40. 40 12/10/2022 Feed-forward Neural Network

41. 41 12/10/2022 Feed-forward Neural Network

42. 42 12/10/2022 Difference between Feed-forward and Recurrent

49. 49 12/10/2022 Number of nodes and layers

50. 50 12/10/2022 Settings

51. 51 12/10/2022 Running and training NN

52. 52 12/10/2022 Running and training NN

53. 53 12/10/2022 pruning

54. Aim of our Research Group: 54 The aim of our Scientific Innovation research Group (SIRG) to evaluate the IOT performance by propose a secure architecture for the IoT security issues for Education. 12/10/2022

55. Thanks and Acknowledgement Thank you 55 12/10/2022

SIRG-BSU_6.pptx

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