1. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Diagnosis of Breast Cancer by Modular Evolutionary Neural Networks Rahul Kala, School of Cybernetics, School of Systems Engineering University of Reading http://rkala.99k.org/ rkala001@gmail.com, r.kala@pgr.reading.ac.uk Publication of paper: R. Kala, R. R. Janghel, R. Tiwari, A. Shukla (2011) Diagnosis of Breast Cancer by Modular Evolutionary Neural Networks, International Journal of Biomedical Engineering and Technology, 7(2): 194 – 211.

2. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Presentation to the paper R. Kala et al. (2011) Diagnosis of Breast Cancer by Modular Evolutionary Neural Networks, Internation al Journal of Biomedical Engineering and Technology [Accepted, In Press] Research Sponsored by: Indian Institute of Information Technology and Management Gwalior, INDIA

3. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Biomedical Engineering SpeedAccuracyManpower Requirements

4. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 The Problem Brest Cancer BenignMalignant

5. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Data Set RadiusTexturePerimeter AreaSmoothnessCompactness Concavity Concave points Symmetry Fractal dimension Cell 1 Cell 2 Cell 3 Data Set Available At: W. H. Wolberg, O. L. Mangasarian, D. W. Aha. UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html], University of Wisconsin Hospitals, 1992.

6. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Machine Learning Perspective Data Set Patterns Trends Rules Logic Knowledge Base

7. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Not in agenda

8. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Concept – 1: Evolutionary Neural Network Generate random individuals While Stopping Criterion not met Selection Fitness Evaluation Return best individual Yes No Create Neural Network as per individual specifications Training Algorithm as local search strategy Performance/Connection Penalty Evaluation Crossover Mutation Elite System 2 System 1

9. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Concept – 2: Attribute Division Attribute Division Inputs Attribute Set 1 Attribute Set 2 Evolutionary Neural Net 1 Evolutionary Neural Net 2 Result Integration Output

10. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Concept – 3: Input Space Division Input Space Clustering Inputs Cluster 1 Cluster 2 Attribute Division 1 Attribute Division 2 Result Integration Output Cluster 3 Attribute Division 3

11. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Concept – 3: Input Space Division Input Space Clustering Inputs Attribute Set 1 Attribute Set 2 Evolutionary Neural Net 1 Evolutionary Neural Net 2 Result Integration Output Cluster 1 Cluster 2 Cluster 3 Attribute Set 1 Attribute Set 2 Attribute Set 1 Attribute Set 2 Evolutionary Neural Net 2 Result Integration Cluster Result Integration

12. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Concept 4: Mixture of Experts Same input to all Experts Inputs Expert 1: Multi Layer Perceptron-1 Expert 1: Multi Layer Perceptron-1 Result Integration Output Expert 3: Multi Layer Perceptron-2 Expert 3: Multi Layer Perceptron-2 Expert 2: Radial Basis Function Network Expert 2: Radial Basis Function Network

13. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Results S. No.Method Training Accuracy Testing Accuracy 1. Proposed Algorithm 98.5075%95.8084% 2. Modular Neural Network 94.4020%91.4773% 3. Ensembles 98.2188%94.8864% 4.Evolutionary Neural Network 96.2779%95.7831%

14. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Component Results CodeExpert NumberCluster Number Module Number Training Accuracy Testing Accuracy AEntire System (all experts combined)98.5075%95.8084% E1Expert 1: Multi-Layer Perceptron (all clusters combined)98.0100%95.8084% E1.C1Multi-Layer Perceptron-11 (all modules combined)98.9362%98.4848% E1.C1.M1Multi-Layer Perceptron-11198.9362%95.4545% E1.C1.M2Multi-Layer Perceptron-11299.4681%98.4848% E1.C2Multi-Layer Perceptron-12 (all modules combined)97.5000%92.0635% E1.C2.M1Multi-Layer Perceptron-12193.3333%84.1270% E1.C2.M2Multi-Layer Perceptron-12297.5000%93.6508% E1.C3Multi-Layer Perceptron-13 (all modules combined)96.8085%97.3684% E1.C1.M1Multi-Layer Perceptron-13196.8085%97.3684% E1.C1.M2Multi-Layer Perceptron-132100%96.8085% E2Expert 2: Radial Basis Function Network98.0100%95.8084% E2.C1Radial Basis Function1 (all modules combined)98.9362%98.4848% E2.C1.M1Radial Basis Function1197.8723%93.9394% E2.C1.M2Radial Basis Function1299.4681%96.9697% E2.C2Radial Basis Function2 (all modules combined)96.6667%93.6508% E2.C2.M1Radial Basis Function2194.1667%88.8889% E2.C2.M2Radial Basis Function2296.6667%88.8889% E2.C3Radial Basis Function3 (all modules combined)100%97.3684% E2.C1.M1Radial Basis Function3198.936297.3684% E2.C1.M2Radial Basis Function32100%97.3684% E3Expert 1: Multi-Layer Perceptron (all clusters combined)98.7562%95.8084% E3.C1Multi-Layer Perceptron-21 (all modules combined)98.9362%98.4848% E3.C1.M1Multi-Layer Perceptron-21198.9362%95.4545% E3.C1.M2Multi-Layer Perceptron-21298.9362% 98.4848% E3.C2Multi-Layer Perceptron-22 (all modules combined)98.3333%90.4762% E3.C2.M1Multi-Layer Perceptron-22195.0000%85.7143% E3.C2.M2Multi-Layer Perceptron-22299.1667% 87.3016% E3.C3Multi-Layer Perceptron-23 (all modules combined)98.9362%94.7368% E3.C1.M1Multi-Layer Perceptron-231100.0000%97.3684% E3.C1.M2Multi-Layer Perceptron-23298.9362% 97.3684%

15. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Related Publications - Journals Kala, Rahul, Tiwari, Ritu, & Shukla, Anupam (2011) Breast Cancer Diagnosis using Optimized Attribute Division in Modular Neural Networks, Journal of Information Technology Research, Vol. 4, No 1, pp 34-47 Kala, Rahul, Janghel, Rekh Ram, Tiwari, Ritu, & Shukla, Anupam, (2011) Diagnosis of Breast Cancer by Modular Evolutionary Neural Networks, International Journal of Biomedical Engineering and Technology, Inderscience [In Press] Kala, Rahul, Vazirani, Harsh, Khawalkar, Nishant, & Bhattacharya, Mahua (2010) Evolutionary Radial Basis Function Network for Classificatory Problems, International Journal of Computer Science Applications, TMRF India, Vol. 7, No. 4, pp 34-49 Kala, Rahul, Vazirani, Harsh, Shukla, Anupam, & Tiwari, Ritu (2010) Medical Diagnosis using Incremental Evolution of Neural Network, Journal of Hybrid Computing Research, TMRF India, Vol. 3, No. 1, pp 9-17 Kala, Rahul, Vazirani, Harsh, Shukla, Anupam, & Tiwari, Ritu (2010) Evolution of Modular Neural Network in Medical Diagnosis, International Journal of Applied Artificial Intelligence in Engineering System, Vol. 2, No. 1, pp 49 -58

16. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Related Publications - Conferences Meena, Yogesh Kumar, Arya, Karam Veer, Kala, Rahul (2010) Classification using Redundant Mapping in Modular Neural Networks, Proceedings of the 2010 World Congress on Nature and Biologically Inspired Computing, Kitakyushu, Japan [In Press] Janghel, R. R., Shukla, Anupam, Tiwari, Ritu, Kala, Rahul (2010) Breast Cancer Diagnostic System using Symbiotic Adaptive Neuro-evolution (SANE). Proceedings of the 2010 International Conference of Soft Computing and Pattern Recognition, Cercy Pontoise/Paris, France, pp 326-329. Janghel, R. R., Shukla, Anupam, Tiwari, Ritu, Kala, Rahul (2010) Breast Cancer Diagnosis using Artificial Neural Network Models. Proceedings of the IEEE 3rd International Conference on Information Sciences and Interaction Sciences, pp 89-94, Chengdu, China. Vazirani, Harsh, Kala, Rahul, Shukla, Anupam, Tiwari, Ritu (2010) Diagnosis of Breast Cancer by Modular Neural Network. Proceedings of the Third IEEE International Conference on Computer Science and Information Technology, pp 115-119, Chengdu, China Kala, Rahul, Shukla, Anupam, & Tiwari, Ritu (2009) Comparative analysis of intelligent hybrid systems for detection of PIMA indian diabetes, Proceedings of the IEEE 2009 World Congress on Nature & Biologically Inspired Computing, NABIC '09, pp 947 - 952, Coimbatote, India Kala, Rahul, Shukla, Anupam, Tiwari, Ritu (2009) Fuzzy Neuro Systems for Machine Learning for Large Data Sets, Proceedings of the IEEE International Advance Computing Conference, IACC '09, pp 541-545, Patiala, India

17. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 More from the authors

18. School of Cybernetics, School of Systems Engineering, University of Reading Presentation Skills Workshop March 22, ‘11 Thank You Rahul Kala Call Centre Lab, Room No 188, School of Cybernetics, School of Systems Engineering, University of Reading, Whiteknights http://rkala.99k.org/ rkala001@gmail.com r.kala@pgr.reading.ac.uk Ph: +44 (0) 7424752843 Acknowledgements Prof. Anupam Shukla, Professor, IIITM Gwalior Dr. Ritu Tiwari, Assistant Professor, IIITM Gwalior Mr. R. R. Janghel, Research Scholar, IIITM Gwalior