tailieunhanh - Artificial Intelligence - Lecturer 15: Artificial Neuron Networks

ANN can be seen as a parallel distributed information processing structure; ANN has the ability to learn, recall, and generalize from training data by assigning and adjusting the interconnection weights; the overall function is determined by. | 5 28 2014 Artificial Intelligence For HEDSPI Project Lecturer 15 - Artificial Neuron Networks Lecturers Thanh Huong Duc Khanh Dr. Hai V. Pham HUST 1 Artificial neural networks Artificial neural network ANN Inspired by biological neural systems . human brains ANN is a network composed of a number of artificial neurons Neuron Has an input output I O characteristic Implements a local computation The output of a unit is determined by Its I O characteristic Its interconnections to other units Possibly external inputs 2 1 5 28 2014 Artificial neural networks ANN can be seen as a parallel distributed information processing structure ANN has the ability to learn recall and generalize from training data by assigning and adjusting the interconnection weights The overall function is determined by The network topology The individual neuron characteristic The learning training strategy The training data Applications of ANNs Image processing and computer vision . image matching preprocessing segmentation and analysis computer vision image compression stereo vision and processing and understanding of time-varying images Signal processing . seismic signal analysis and morphology Pattern recognition . feature extraction radar signal classification and analysis speech recognition and understanding fingerprint identification character recognition face recognition and handwriting analysis Medicine . electrocardiographic signal analysis and understanding diagnosis of various diseases and medical image processing 4 2 5 28 2014 Applications of ANNs Military systems . undersea mine detection radar clutter classification and tactical speaker recognition Financial systems . stock market analysis real estate appraisal credit card authorization and securities trading Planning control and search . parallel implementation of constraint satisfaction problems solutions to Traveling Salesman and control and robotics Power systems . system state estimation .

• Kỹ thuật lập trình
• Artificial Intelligence
• Advanced search methods
• Trí tuệ nhân tạo
• Local beam search
• Artificial Neuron Networks
• Cấu trúc xử lý thông tin
• Applying artificial intelligence on e learning
• Compare E learning
• Traditional learning
• Learn 1 1 with virtual assistant
• Artificial Neural Networks (ANN) algorithms
• CS 486686 Artificial Intelligence
• Course administration
• Intelligent Assistive Technology
• A brief history of A
• Properties of task environments
• Artificial intelligence in education
• Keynote speaker abstracts
• Human computer interface issues
• Pedagogical agents
• Models of criminal liability of artificial intelligence
• Criminal liability of artificial intelligence
• Science fiction to prospect for criminal law and policy in Vietnam
• Criminal law and policy in Vietnam
• Criminal law and policy
• Lecture Artificial Intelligence
• Computing machinery
• Thinking humanly
• Cognitive Science
• Lecture note Artificial Intelligence
• Performance measure
• Environment types
• Agent program
• Problem solving
• Problem solving agents
• Problem types
• Problem formulation
• Informed search algorithms
• Best first search
• Local search algorithms
• Simulated annealing
• Genetic algorithms
• Constraint Satisfaction Problems
• Backtracking search for CSPs
• Game playing
• Resource limits
• Games of chance
• Logical agents
• Knowledge based agents
• Wumpus world
• First order logic
• Semantics of FOL
• Fun with sentences
• Wumpus world in FOL
• Inference in first order logic
• Generalized Modus Ponens
• Logic programming
• Bayes’ Rule
• Methods for handling uncertainty
• Making decisions under uncertainty
• Bayesian networks
• Parameterized distributions
• Inference in Bayesian networks
• Variable elimination
• Temporal probability models
• Hidden Markov models
• Kalman filters
• Speech recognition
• Speech sounds
• Word pronunciation
• Rational decisions
• Rational preferences
• Multiattribute utilities
• Learning from Observations
• Learning agents
• Inductive learning