SỬ DỤNG GIẢI THUẬT ANN (ARTIFICIAL NEURAL NETWORK) ĐỂ XÂY DỰNG HỆ THỐNG NHẬN DẠNG CHỮ SỐ VIẾT TAY - Full 10 điểm

TRƯỜNG ĐẠ I H Ọ C NAM C ẦN THƠ KHOA K Ỹ THU Ậ T – CÔNG NGH Ệ NGUY ỄN VĂN ĐIỀ U MSSV 176289 S Ử D Ụ NG GI Ả I THU Ậ T ANN (ARTIFICIAL NEURAL NETWORK) ĐỂ XÂY D Ự NG H Ệ TH Ố NG NH Ậ N DI Ệ N CH Ữ S Ố VI Ế T TAY ĐỒ ÁN T Ố T NGHI Ệ P Ngành Công Ngh ệ Thông tin Mã s ố Ngành: 7480201 05-2021 TRƯỜNG ĐẠ I H Ọ C NAM C ẦN THƠ KHOA K Ỹ THU Ậ T – CÔNG NGH Ệ NGUY ỄN VĂN ĐIỀ U MSSV: 176289 S Ử D Ụ NG GI Ả I THU Ậ T ANN (ARTIFICIAL NEURAL NETWORK) ĐỂ XÂY D Ự NG H Ệ TH Ố NG NH Ậ N DI Ệ N CH Ữ S Ố VI Ế T TAY ĐỒ ÁN T Ố T NGHI Ệ P Ngành Công Ngh ệ Thông tin Mã s ố Ngành: 7480201 GI ẢNG VIÊN HƯỚ NG D Ẫ N TS NGÔ H Ồ ANH KHÔI 05-2021 i CH Ấ P THU Ậ N C Ủ A H ỘI ĐỒ NG Bài báo cáo đồ án th ự c t ậ p, do sinh viên Nguy ễn Văn Điề u th ự c hi ện dướ i s ự hướ ng d ẫ n c ủ a TS Ngô H ồ Anh Khôi Bài báo cáo này đã báo cáo và đượ c H ộ i đồ ng ch ấ m khóa lu ậ n thông qua Ủ y viên Thư ký (Ký tên) (Ký Tên) --------------------------------------- --------------------------------------- GHI CH Ứ C DANH, H Ọ , TÊN GHI CH Ứ C DANH, H Ọ , TÊN Ph ả n bi ệ n 1 Ph ả n bi ệ n 2 (Ký tên) (Ký tên) --------------------------------------- --------------------------------------- GHI CH Ứ C DANH, H Ọ , TÊN GHI CH Ứ C DANH, H Ọ , TÊN Cán b ộ hướ ng d ẫ n Ch ủ t ị ch H ội đồ ng (Ký tên) (Ký tên) --------------------------------------- -------------------------------------- GHI CH Ứ C DANH, H Ọ , TÊN GHI CH Ứ C DANH, H Ọ , TÊN ii NH Ậ N XÉT C ỦA GIÁO VIÊN HƯỚ NG D Ẫ N ······································································································ ······································································································ ······································································································ ······································································································ ······································································································ 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th ời gian, không gian để em có th ể hoàn thành nhi ệ m v ụ h ọ c t ậ p c ủ a mình M ặc dù, em đã có rấ t nhi ề u c ố g ắ ng n ỗ l ực để hoàn thành đồ án nhưng vẫ n không tránh kh ỏ i nh ữ ng thi ế u sót Kính mong nh ận đượ c s ự đóng g óp ý ki ế n c ủ a quý th ầ y cô Em xin chân thành c ảm ơn! C ầ n T hơ, ngày … tháng … năm 2021 Ngườ i th ự c hi ệ n IV L ỜI CAM ĐOAN Tôi xin cam k ế t khóa lu ận này đượ c hoàn thành d ự a trên các k ế t qu ả nghiên c ứ u c ủ a tôi và các k ế t qu ả nghiên c ứu này chưa đượ c dùng cho b ấ t c ứ khóa lu ậ n cùng c ấ p nào khác C ầ n T hơ, ngày … tháng … năm 2021 Ngườ i th ự c hi ệ n V M Ụ C L Ụ C CHƯƠNG 1 GIỚ I THI Ệ U 1 1 1 Gi ớ i thi ệ u v ề công ty 1 1 1 1 Thông tin v ề công ty 1 1 1 2 Tr ụ s ở chính 1 1 1 3 Người đạ i di ệ n theo pháp lu ậ t: 1 1 1 4 Thông tin li ệ n h ệ 1 1 1 5 Ngành ngh ề kinh doanh 2 1 1 6 S ả n ph ẩ m và d ị ch v ụ đang kinh doanh 3 1 2 Đặ t v ấn đề nghiên c ứ u 6 1 3 M ụ c tiêu nghiên c ứ u 7 1 3 1 M ụ c tiêu chung 7 1 3 2 M ụ c tiêu c ụ th ể 8 CHƯƠNG 2 CƠ SỞ LÝ LU ẬN VÀ PHƯƠNG PHÁP NGHIÊN CỨ U 9 2 1 Cơ sở lý lu ậ n 9 2 2 Phương p háp nghiên c ứ u 9 2 2 1 Phương pháp nghiên cứ u lý thuy ế t 9 2 2 2 Phương pháp nghiên cứ u th ự c nghi ệ m 9 2 2 3 Phương pháp điề u tra 10 2 3 Gi ớ i thi ệ u v ề b ộ cơ sở d ữ li ệ u Mnist 10 2 3 1 Gi ớ i thi ệ u 10 2 3 2 L ị ch s ử 11 2 4 Gi ớ i thi ệ u v ề ngôn ng ữ Python 11 CHƯƠNG 3 GI Ả I THU Ậ T ANN TRONG NH Ậ N D Ạ NG CH Ữ S Ố VI Ế T TAY 14 3 1 Gi ớ i thi ệ u v ề v ề gi ả i thu ậ t ANN ( Neural Network) 14 3 1 1 Gi ớ i thi ệ u chung 14 3 1 2 Neural nhân t ạ o 15 3 1 3 Mô hình m ạ ng neural nhân t ạo và phương thứ c làm vi ệ c 17 VI 3 1 4 Các lu ậ t h ọ c 21 3 2 Gi ớ i thi ệ u v ề nh ậ n d ạ ng ANN 25 3 3 Xây d ự ng mô hình d ự báo ANN 26 3 4 Phương pháp MLP 27 3 5 Sơ đồ Use case chương trình 28 3 6 Quá trính nh ậ n d ạ ng ch ữ s ố vi ế t tay 28 3 6 1 Đưa dữ li ệu đầ u vào 28 3 6 2 Cá c thư việ n 28 3 6 3 S ử d ụ ng gi ả i thu ật ANN để nh ậ n d ạ ng 28 CHƯƠNG 4 KẾ T QU Ả NGHIÊN C Ứ U 31 4 1 Xu ấ t k ế t qu ả 31 4 2 Giao di ệ n 33 4 3 Hướ ng d ẫ n s ử d ụ ng 34 4 4 Hướ ng d ẫn cài đặ t 41 CHƯƠNG 5 KẾ T LU Ậ N 42 DANH SÁCH HÌNH Hình 2 1 B ộ cơ sở d ữ li ệ u mnist 10 Hình 3 1 Mô hình m ộ t neuron nhân t ạ o 15 Hình 3 2 Đồ th ị các d ạ ng hàm truy ề n 17 Hình 3 3 M ạ ng neural ba l ớ p 18 Hình 3 4 M ạ ng truy ề n th ẳ ng m ộ t l ớ p 20 Hình 3 5 M ạ ng truy ề n th ẳ ng nhi ề u l ớ p 20 VII Hình 3 6 M ạ ng h ồ i ti ế p m ộ t l ớ p 21 Hình 3 7 M ạ ng neural h ồ i quy 21 Hình 3 8 C ấ u trúc hu ấ n luy ệ n m ạ ng neural 22 Hình 3 9 H ọ c có giám sát 23 Hình 3 10 H ọ c không có giám sát 23 Hình 3 11 Sơ đồ c ấ u trúc chung c ủ a quá trình h ọ c 24 Hình 4 3 Bi ểu đồ test 31 Hình 5 5 Giao di ệ n chính 33 VIII DANH M Ụ C T Ừ VI Ế T T Ắ T ANN Artificial Neural Network MLP Multilayer Perceptrons LR Learning Rate