11- What Is Steepest Ascent Hill Climbing Algorithm In Artificial Intelligence In Hindi | Hill Climb скачать в хорошем качестве

11- What Is Steepest Ascent Hill Climbing Algorithm In Artificial Intelligence In Hindi | Hill Climb

what is hill climbing algorithm in artificial intelligence in hindi: Steepest Ascent Hill Climbing This differs from the basic Hill climbing algorithm by choosing the best successor rather than the first successor that is better. This indicates that it has elements of the breadth first algorithm. The algorithm proceeds Steepest ascent Hill climbing algorithm 1 Evaluate the initial state 2 If it is goal state Then quit otherwise make the current state this initial state and proceed; 3 Repeat set Target to be the state that any successor of the current state can better; for each operator that can be applied to the current state apply the new operator and create a new state evaluate this state If this state is goal state Then quit Otherwise compare with Target If better set Target to this value If Target is better than current state set current state to Target Until a solution is found or current state does not change Both the basic and this method of hill climbing may fail to find a solution by reaching a state from which no subsequent improvement can be made and this state is not the solution. Local maximum state is a state which is better than its neighbours but is not better than states faraway. These are often known as foothills. Plateau states are states which have approximately the same value and it is not clear in which direction to move in order to reach the solution. Ridge states are special typesw of local maximum states. The surrounding area is basically unfriendly and makes it difficult to escape from, in single steps, and so the path peters out when surrounded by ridges. Escape relies on: backtracking to a previous good state and proceed in a completely different direction--- involves keeping records of the current path from the outset; making a gigantic leap forward to a different part of the search space perhaps by applying a sensible small step repeatedly, good for plateaux; applying more than one rule at a time before testing, good for ridges. None of these escape strategies can guarantee success. 06- What Is Breadth First Search Technique In Artificial Intelligence Hindi | Breadth First Search    • 06- What Is Breadth First Search Technique...   07- What Is Depth First Search Technique In Artificial Intelligence Hindi | Depth First Search    • 07- What Is Depth First Search Technique I...   08- Comparison Between DFS And BFS In Artificial Intelligence In HIndi | Depth First Search Vs BFS    • 08- Comparison Between DFS And BFS In Arti...   09- What Is Heuristic Search Strategies In Artificial Intelligence In Hindi | Heuristic Search In AI    • 09- What Is Heuristic Search Strategies In...   10- What Is Hill Climbing Algorithm In Artificial Intelligence In Hindi | Hill Climbing Algorithm    • 10- What Is Hill Climbing Algorithm In Art...   11- What Is Steepest Ascent Hill Climbing Algorithm In Artificial Intelligence In Hindi | Hill Climb    • 11- What Is Steepest Ascent Hill Climbing ...   #ArtificialIntelligence #ArtificialintelligenceInHindi #ArtificialIntelligenceLectures #ArtificialIntelligenceTutorials #ArtificialIntelligenceVideos #Ai #AIInHindi #AILectures #AITutorials #AIVideos Playlist: UGC NET- Computer Graphics:    • Плейлист   UGC NET- Operating System Lectures:    • [Complete Syllabus] UGC Net - GATE- Operat...   Operating System For BTech- BE- BSc-Msc- BCA-MCA...Students    • [Complete] Operating System Tutorials In H...   Foundation Of Computer Science- IPU    • Плейлист   Full Discrete Mathematics Syllabus    • Discrete Mathematics Tutorials In Hindi | ...