Open loop and closed loop control systems are the two control systems. The open loop control system is one where the control action is independent of the output produced by the physical system. It means that the output of the open loop control system does not perform any changes to the control action. However, the closed loop control system is one where the control action depends on the output produced by the physical system. It means the output of the closed loop control system performs … [Read more...]
Difference Between Artificial Neural Network and Biological Neural Network
The significant difference between artificial neural network and biological neural network is that in an artificial neural network the unique functioning memory of the system is placed separately with the processors. On the other hand, in the biological neural network the distributed memory is located inside the neural inter-links. Neural computers are founded on the biological processes of the human neural system (brain). Neural computing involves a extensive parallel processing and … [Read more...]
Difference Between Machine Learning and Artificial Intelligence
Machine learning is the discipline of artificial intelligence where artificial intelligence is broader and covers the major systems working intelligently similar to humans. The terminologies machine learning and artificial intelligence are differentiated by the fact that artificial intelligence is the design and synthesis of the useful, intelligent inventions imitating human intelligence. On the other hand, the machine learning emphasis on the learning mechanism of the machines and systems in … [Read more...]
Difference Between Procedural and Declarative Knowledge
The knowledge can be expressed in the various forms to the inference engine in the computers to solve the problems in context of the rule. So, in this article, we are going to discuss the two representation of procedural knowledge and declarative knowledge. The prior difference between them is that the declarative representation just specifies the knowledge but not the mechanism to implement the knowledge. On the contrary, the procedural representation provides the control information along with … [Read more...]
Difference Between Fuzzification and Defuzzification
Fuzzification and defuzzification are the fuzzy inferencing system steps where the fuzzification translates the precise quantity as a fuzzy quantity whereas defuzzification converts the fuzzy quantity into a crisp one. The techniques are very useful in the fuzzy inference process, where the mapping is developed from a given input to an output with the help of fuzzy logic. This mapping provides the base for making the decision and discovering patterns. The fuzzy inference process is consist of … [Read more...]
Difference Between Supervised and Unsupervised Learning
Supervised and Unsupervised learning are the machine learning paradigms which are used in solving the class of tasks by learning from the experience and performance measure. The supervised and Unsupervised learning mainly differ by the fact that supervised learning involves the mapping from the input to the essential output. On the contrary, unsupervised learning does not aim to produce output in the response of the particular input instead it discovers patterns in data. These supervised and … [Read more...]
Difference Between Fuzzy Set and Crisp Set
Fuzzy set and crisp set are the part of the distinct set theories, where the fuzzy set implements infinite-valued logic while crisp set employs bi-valued logic. Previously, expert system principles were formulated premised on Boolean logic where crisp sets are used. But then scientists argued that human thinking does not always follow crisp "yes"/"no" logic, and it could be vague, qualitative, uncertain, imprecise or fuzzy in nature. This gave commencement to the development of the fuzzy set … [Read more...]
Difference Between Soft Computing and Hard Computing
Soft computing and hard computing are computing methods where hard computing is the conventional methodology relies on the principles of accuracy, certainty, and inflexibility. Conversely, soft computing is a modern approach premised on the idea of the approximation, uncertainty, and flexibility. Before understanding soft computing and hard computing we should understand, what is computing? The computing in terms of computer technology is the process of accomplishing the particular task with … [Read more...]