Logical Reasoning Book
上傳時間： 2014-01-10
上傳用戶：h886166
A brief description of how to apply deductive Reasoning to the task of debugging software.
標簽： description deductive debugging Reasoning
上傳時間： 2017-05-03
上傳用戶：水中浮云
job written test you logical Reasoning ability.rar
標簽： Reasoning ability written logical
上傳時間： 2017-05-15
上傳用戶：許小華
a collection of M-files to study concepts in the following areas of Fuzzy-Set-Theory: Fuzzy or Multivalued Logic, The Calculus of Fuzzy, Quantities, Approximate Reasoning, Possibility Theory, Fuzzy Control, Neuro-Fuzzy Systems.
標簽： Fuzzy-Set-Theory collection following concepts
上傳時間： 2015-04-03
上傳用戶：lili123
FISMAT accommodates different arithmetic operators, fuzzification and defuzzification algorithm, implication relations, and different method of approximate Reasoning such as Compositional Rule of Inference (CRI) and Approximate Analogical Reasoning Scheme based on Similarity Measure.
標簽： defuzzification fuzzification accommodates arithmetic
上傳時間： 2013-12-30
上傳用戶：dongbaobao
gibbs，beyesian network，intelligent inference, Markov, BeliefPropagation. It is a very good surce code for intelligent Reasoning research
標簽： gibbs
上傳時間： 2014-01-15
上傳用戶：372825274
Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy Reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
標簽： multimedia Semantic analysis research
上傳時間： 2016-11-24
上傳用戶：蟲蟲蟲蟲蟲蟲
People have vast background knowledge to cope with everyday situations. We don t have to be told everything explicitly because we can call on the background knowledge. We use `default knowledge to handle situations where knowledge is incomplete. This is called common sense Reasoning.
標簽： have background situations knowledge
上傳時間： 2017-06-03
上傳用戶：gmh1314
Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continuous mathematics; perception, Reasoning, learning, and action; and everything from microelectronic devices to robotic planetary explorers. The book is also big because we go into some depth. The subtitle of this book is “A Modern Approach.” The intended meaning of this rather empty phrase is that we have tried to synthesize what is now known into a common frame- work, rather than trying to explain each subfield of AI in its own historical context. We apologize to those whose subfields are, as a result, less recognizable.
標簽： A-Modern-Approach Intelligence
上傳時間： 2020-06-10
上傳用戶：shancjb
ets gre 數學考試講義， Mathematical Conventions for the Quantutative Reasoning Measure of the GRE revised General Test for the Quantitative Reasoning Measure of the GRE? revised General Test
標簽： gre
上傳時間： 2021-09-07
上傳用戶：zghflxj
