scispace - formally typeset
Search or ask a question

Answers from top 9 papers

More filters
Papers (9)Insight
Artificial Neural Networks have proven to be a very powerful machine learning algorithm which can be adequate to learn successfully a variety of tasks.
The artificial neural network techniques are rather easy to develop and to perform.
Neural network systems can be made to learn faster and generalize better through the addition of knowledge.
(2) Neural network models are easy to obtain for new circuits or devices which can replace analytical methods.
The neural network is adaptive and easy to implement.
An artificial neural network, a biologically inspired computing method which has an ability to learn, self-adjust, and be trained, provides a powerful tool in solving complex problems.
Artificial neural network, a biologically inspired computing method which has an ability to learn, self-adjust, and be trained, provides a powerful tool in solving pattern recognition problems.
The artificial neural network technique is powerful because it can learn to represent complicated data patterns or data relationships between input and output variables of the system being studied.
Artificial neural network is a versatile modelling tool capable of making predictions of values that are difficult to obtain in numerical analysis.

Related Questions

What is ease of learning?5 answersEase of learning (EOL) refers to the prediction of how difficult it will be to learn new material before the learning process begins. Studies have shown that EOL judgments are influenced by encoding fluency cues, with higher judgments correlating with increased encoding fluency. Additionally, EOL judgments are associated with specific brain activation regions, such as the left superior frontal gyrus and middle frontal gyrus for low EOL judgments, and the medial temporal lobe, ventromedial prefrontal cortex, and dorsolateral prefrontal cortex for high EOL judgments. On the other hand, Ease.ML introduces a lifecycle management system for machine learning applications, focusing on automating the entire ML application development process rather than individual steps.
Are sign languages easy to learn?5 answersSign languages, particularly American Sign Language (ASL), present challenges due to regional dialect diversity and limited research resources. Learning sign language involves mastering gestures and finger spellings, especially when no equivalent sign exists or for illiterate signers. Traditional sign language education heavily relies on expensive sensing devices, making the learning process challenging. However, innovative approaches like using technology, such as robotic hands, for fingerspelling sign language can aid in learning fine-grained movements. Overall, while sign languages pose difficulties due to their complexity and regional variations, with dedication and appropriate resources, individuals can learn and communicate effectively through sign language.
What is ease for learning in coding?5 answersEASE is a method for learning sentence embeddings in coding. It uses contrastive learning between sentences and their related entities to train the embeddings. The advantage of using entity supervision is twofold: (1) entities provide strong training signals for sentence embeddings as they are a strong indicator of text semantics; (2) entities offer cross-lingual alignment supervision as they are defined independently of languages. EASE has been evaluated against other unsupervised models in both monolingual and multilingual settings. It has shown competitive or better performance in English semantic textual similarity (STS) and short text clustering (STC) tasks. EASE significantly outperforms baseline methods in multilingual settings on various tasks.
What is the easiest way to learn programming?5 answersThe easiest way to learn programming is to understand the foundational principles that underlie programming languages. By grasping these principles, even the most complicated industrial languages can be learned quickly. It is important to focus on the key parts of programming languages and to practice using them through examples and exercises. Additionally, visualization can aid in understanding programming logic and improve learning outcomes. This approach has been shown to be effective in helping students build their logical thinking and programming skills.
How can I learn artificial neural network?10 answers
Is a software developer an easy job?6 answers