Machine Intelligence course 0640424
ABET MI Syllabus 2021_1_MI.pdf
Part 1: Neural Networks
third_lecture_nns_and_perceptron_s1_21_22.pdf
fifth_lecture_rbfnn_pnn_hdnn_s1_21_22.pdf
6th_lecture_Calculus Review_WIDROW_HOFF_LEARNING_ALGORITHM_s1_21_22.pdf
7th_lecture_WIDROW_HOFF_LEARNING_ALGORITHM_s1_21_22.pdf
8th_lecture_Delta_Rule_Learning_s1_21_22.pdf
9th_lecture_unsupervised_learning_som_s1_21_22.pdf
10th_lecture_unsupervised_learning_som_s1_21_22.pdf
lecture_11_ch_recog_s1_21_22.pdf
lecture_12_modeling_cont_overview.pdf
13_lect_The use of NN in Control_s1_21_22.pdf
lecture_14_rec_nns_s1_21_22.pdf
15_lect_The use of NN in Control_s1_21_22.pdf
Lecture_16_introduction_to_deep_learning_s1_21_22.pdf
Part 2: Fuzzy logic
lecture_17_intro_to_fuzzy_logic_s1_21_22.pdf
lecture_18_intro_to_fuzzy_logic_part2_s1_21_22.pdf
lecture_19_fuzzy_logic_control_s1_21_22.pdf
lecture _20_flc_control_and_neuro-fuzzy systems_s1_21_22.pdf