【文件属性】：
文件名称：算法：用于机器人技术，机器学习等的AI算法
文件大小：75KB
文件格式：ZIP
更新时间：2021-02-04 00:51:03
bayes-algorithm localization machine-learning-algorithms artificial-intelligence particle-filter
【文件预览】：
algorithms-master
----search()
--------heuristic.py(3KB)
--------optimum_policy.py(2KB)
--------expansion_grid.py(2KB)
--------stochastic_motion_solution.py(4KB)
--------first_search_program.py(2KB)
--------print_path.py(3KB)
--------value_program_solution.py(2KB)
----bayes_rule()
--------calculate_total_probability.py(85B)
--------functions.py(36B)
--------three_flips.py(56B)
--------printing_number.py(9B)
--------flip_one_of_two.py(75B)
--------two_flips.py(38B)
--------complement.py(38B)
--------bayes_rule.py(170B)
--------flip_two_coins.py(53B)
----particle_filters()
--------new_particle.py(4KB)
--------orientation_2.py(4KB)
--------final_quiz.py(13KB)
--------circular_motion.py(7KB)
--------resampling_wheel.py(4KB)
--------importance_weight.py(4KB)
--------robot_particles.py(4KB)
--------creating_particles.py(4KB)
--------sensing.py(5KB)
--------error.py(4KB)
--------add_noise.py(4KB)
--------moving_robot.py(4KB)
----pid_control()
--------parameter_optimization.py(5KB)
--------pd_controller.py(4KB)
--------pid_implementation.py(5KB)
--------path_smoothing.py(2KB)
--------implement_p_controller.py(4KB)
----kalman_filtering()
--------kalman_matrices.py(6KB)
--------predict_function.py(514B)
--------kalman_filter_code.py(892B)
--------maximize_gaussian.py(129B)
--------programming_exercise.py(6KB)
--------new_mean_and_variance.py(421B)
----introduction()
--------case_study.py(134B)
--------linear_search.js(147B)
--------timing_our_code.js(220B)
--------linear_search.rb(444B)
--------linear_search.py(508B)
----slam()
--------expand.py(11KB)
--------implementing_slam.py(25KB)
--------segmented_cte.py(17KB)
--------confident_measurements.py(11KB)
--------omega_and_xi.py(9KB)
----localization()
--------localization_program.py(4KB)
--------move_twice.py(670B)
--------pHit_and_pMiss.py(138B)
--------sense_function.py(586B)
--------move_1000.py(764B)
--------normalized_sense_function_solution.py(498B)
--------move_function.py(538B)
--------inexact_move_function.py(649B)
--------generalized_uniform_distribution.py(56B)
--------sense_and_move.py(1017B)
--------sum_of_probabilities.py(143B)
--------multiple_measurements.py(432B)
----.gitignore(2KB)
----README.md(55B)