Is artificial neural networks easy to learn?
Answers from top 10 papers
15 Jun 1995-Journal of Membrane Science
|Neural networks offer the advantage of being easy to use.|
31 Dec 2016-Research on computing science
|Artificial Neural Networks have proven to be a very powerful machine learning algorithm which can be adequate to learn successfully a variety of tasks.|
19 Sep 2004
|The artificial neural network techniques are rather easy to develop and to perform.|
01 Jan 1992
|For small numbers, artificial neural networks can be efficiently learned to count.|
01 Dec 2015-Archives of Mining Sciences
|This will be easy, because there are currently quite a few ready-made computer programs, easily available, which allow their user to quickly and effortlessly create artificial neural networks, run them, train and use in practice.|
23 Apr 2008-World Journal of Surgery
|Neural networks can learn (i. e., adapt) from data and feedback, but understanding the pattern learned by neural networks is difficult.|
23 Aug 2018-Advances in systems science and applications
|Artificial neural networks can be most adequately characterised as «computational models» with particular properties such as the ability to adapt or learn, to generalise, or to cluster or organise data, and which operation is based on parallel processing.|
|Results indicated that neural networks can learn accurate models and give good nonlinear control when model equations are not known.|
01 Sep 1996-Construction Management and Economics
|Artificial neural networks (ANNs) are systems that can learn.|
01 May 1994-IEEE Transactions on Power Systems
|It is concluded that artificial neural networks have difficulty in returning consistently accurate answers under varying network conditions.|
Why do people seemingly find it easy to believe in psychic phenomena?5 answersPeople seemingly find it easy to believe in psychic phenomena due to various factors. One factor is the influence of religious orientation, as individuals with different religious beliefs, including orthodox Christians, unorthodox religious believers, and the nonreligious, all showed a small positive correlation with overall psychic belief. Additionally, the presentation of fake psychic demonstrations can lead to an increase in psychic beliefs, even when participants have been warned about the deception. However, providing alternative explanations or disclosing the deceptive methods can mitigate this effect and reduce psychic beliefs. Furthermore, the mass media plays a significant role in shaping beliefs, as the plethora of presentations with psychic themes compensates for any orthodox religious teachings against the occult and emerges as the most salient influence on belief in psychic phenomena. Overall, a combination of religious orientation, exposure to fake demonstrations, and media influence contribute to the ease with which people believe in psychic phenomena.
Where was Easy zero knowledge learning mentioned?5 answersEasy zero knowledge learning was mentioned in the paper by Peikert and Shiehian.
Are information systems easy?7 answers
How do you create an artificial neural network?10 answers
How to start learning artificial neural network?10 answers
Is artificial neural network easy to learn?9 answers
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5 answersThe best ways to save money on food as a college student include optimizing the cost of meals through techniques like Linear Programming (LP) and Integer Linear Programming (ILP). Additionally, addressing food waste on college campuses can help reduce costs. Studies have shown that large quantities of food are wasted on college campuses, while simultaneously, many college students experience food insecurity. Targeted approaches, such as the use of smartphones, can be effective in addressing both food waste and food insecurity on college campuses. For example, the Campus Plate platform allows students to quickly discover and retrieve recoverable food, reducing waste and increasing food accessibility. By implementing these strategies, college students can save money on food while also contributing to a more sustainable food system.What are the key components of the WAMI index?
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5 answersIntrusion detection systems (IDSs) in cloud computing have several shortcomings. The first challenge is the identification of complicated and anonymous attacks, which can be hindered by unwanted delays. Another issue is the ease of the cloud and the continual restructuring and movement of cloud resources, which pose challenges for intrusion detection. Additionally, the effectiveness and speed of detection are critical aspects that need improvement. To overcome these obstacles, machine learning techniques are suggested to be utilized in conjunction with parallelization. Statistical models, safe system approaches, neural networks, and other methods are used for intrusion detection, but accuracy needs improvement. Furthermore, cloud security features such as confidentiality, availability, and integrity are susceptible to attacks, making security solutions necessary. In summary, the shortcomings of available IDSs in cloud computing include delays in detection, challenges due to cloud dynamics, and the need for improved accuracy and speed of detection.How does the salinity of the Bay of Bengal change during the dry season?
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