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Book ChapterDOI
01 Jan 2014
9 Citations
Artificial neural networks (ANNs) may have different architectures which result in different types of ANNs.
The experimental results showed that modular artificial neural networks provided a higher accuracy than single artificial neural network and other conventional methods in terms of mean absolute error.
sparsity, scale-freeness), we argue that (contrary to general practice) Artificial Neural Networks (ANN), too, should not have fully-connected layers.
Journal ArticleDOI
A. Patrikar, J.D. Provence 
20 Citations
In this respect it is similar to artificial neural networks.
However, a significant improvement can be expected using different types of neural networks.
sparsity, scale-freeness), we argue that (contrary to general practice) artificial neural networks, too, should not have fully-connected layers.
The profound and far-reaching effect can be predicted with development of artificial neural networks research.
For small numbers, artificial neural networks can be efficiently learned to count.

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What are the differences between the different types of AI?4 answersThe different types of AI can be classified based on their philosophies, purposes, techniques, and ability to mimic human behaviors. The four main types of AI are reactive machines, limited memory, theory of mind, and self-awareness. Another classification is based on the level of technology, which includes weak AI, strong AI, and superintelligence. Weak AI refers to computer applications with limited capabilities, while strong AI exhibits intelligent human reasoning and self-awareness. AI systems can also be categorized as model-centric or data-centric. Model-centric AI focuses on upgrading the algorithm, while data-centric AI focuses on improving the quality of data. The presence of AI can influence human behavior and decision-making. Samaritan AI agents that help everyone unconditionally can promote higher levels of cooperation, while discriminatory AI only helps those considered worthy/cooperative.
What are different types of ai?5 answersThere are different types of AI systems that can be classified based on their capabilities and characteristics. One way to categorize AI is by looking at its evolutionary stages, which include artificial narrow intelligence (ANI), artificial general intelligence (AGI), and artificial super intelligence (ASI). Another approach is to classify AI based on the type of system, such as analytical AI, human-inspired AI, and humanized AI. Analytical AI focuses on data analysis and interpretation, while human-inspired AI aims to replicate human cognitive abilities. Humanized AI, on the other hand, aims to create AI systems that can interact and communicate with humans in a more natural way. These different types of AI have various potential applications in different sectors, including dermatological imaging, virtual assistants, robots, computer vision, and medicine.
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