Artificial Neural Networks (ANN) Question & Answers November 14, 2022 By WatElectronics This article lists 25 Artificial Neural Networks (ANN) MCQs for engineering students. All the Artificial Neural Networks (ANN) Questions & Answers given below include a hint and a link wherever possible to the relevant topic. This is helpful for users who are preparing for their exams, interviews, or professionals who would like to brush up on the fundamentals of Artificial Neural Networks (ANN). A neural network is about the processing of information inspired by the Human Nervous System. Biological neurons in human bodies take care of information passing in the form of signals like-wise artificially installed neurons are responsible for mathematical tasks. Neurons present in artificial neural networking or ANN are referred to as Nodes. Biological neural networks have dendrites that are known as inputs in ANN, Nodes are the cell nuclei, where synapse and the axon are weights & output. ANN in Artificial Intelligence (AI) mimics neuron networks as the brain of a human being such that computers can understand things and can take decisions like humans. In AI computers are programmed that behave like cells in the brain are interconnected. One can state that human brains are made of incredible processors connected in parallel. Artificial neurons in ANN are arranged in the form of layers. Three layers are present in ANN the Input, Hidden, and Output layers. The purpose of the input layer is to accept distinct formats from the programmer, calculations that find patterns and features that are hidden by the Hidden layer, and the outcome is obtained using the output layer. 1). ANN is the collection of artificial ___________? Networks Neurons Synapses Weights Hint 2). In ANN, Neurons interconnected among multiple network layers are referred to as __________? Source Nodes Anodes Cathodes Hint 3). The complexity of ANN is dependent upon _____________? Number of Neurons Number of Nodes Number of Anodes Number of Layers Hint 4). How nodes are connected in ANN? Source Links Anodes Cathodes Hint 5). What determines the weights of nodes? Source Links Anodes Cathodes Hint 6). How many outcomes are produced from artificial neurons? One Three Five Multiple Hint 7). Weighted sums in ANNs are referred to as ___________? Input Output Activation Link Hint 8). Weighted sums are passed via activation functions and _________ is produced? Input Output Network Connection Hint 9). What are the various layers present in ANN? Input Layer Hidden Layer Output Layer All Mentioned Above Hint 10). Which layer in ANN can receive data from external sources? Input Layer Hidden Layer Output Layer All Mentioned Above Hint Artificial Neural Networks (ANN) MCQs for Students 11). Ultimate results are produced in ANN at __________? Input Layer Hidden Layer Output Layer All Mentioned Above Hint 12). Input applied in ANN passed on to layers hidden to produce outcome is referred to as __________? Signal Propagation Forward Propagation Backward Propagation Channel Propagation Hint 13). After receiving the outcome, it is compared with the original one, and the weights are updated is referred to as ____________? Signal Propagation Forward Propagation Backward Propagation Channel Propagation Hint 14). Computational power in ANNs is determined by ____________? Networks Neurons Synapses Weights Hint 15). ANN involves large processors operating in ___________? Series Linear Parallel Non-Linear Hint 16). ANNs are ___________? Adaptive Stubborn Ductile Rigid Hint 17). Information passed till it reaches the output in _____________ type of ANN? Recurrent Neural Networks Feed-forward Neural Networks Convolutional Neural Networks Deconvolutional Neural Networks Hint 18). Facial recognitions & computer vision technologies use ___________? Recurrent Neural Networks Feed-forward Neural Networks Convolutional Neural Networks Deconvolutional Neural Networks Hint 19). Processing nodes outcome is saved in ____________ variant of ANN? Recurrent Neural Networks Feed-forward Neural Networks Convolutional Neural Networks Deconvolutional Neural Networks Hint 20). Text-to-speech conversion uses ___________? Recurrent Neural Networks Feed-forward Neural Networks Convolutional Neural Networks Deconvolutional Neural Networks Hint Artificial Neural Networks (ANN) MCQs for Interviews 21). Image recognition is possible by using _____________? Recurrent Neural Networks Feed-forward Neural Networks Convolutional Neural Networks Deconvolutional Neural Networks Hint 22). Which is the reversed process of CNN? Recurrent Neural Networks Feed-forward Neural Networks Convolutional Neural Networks Deconvolutional Neural Networks Hint 23). ANNs are utilized for ____________ Dynamic modelling and its identification? Linear Systems Non-linear Systems a & b None Hint 24). Artificial Neuron Networks' purpose is to ____________? Simulate Neurons Simulate Inputs Simulate Output Simulate Networks Hint 25). Image pre-processing is carried-out by ________________? ANN LAN MAN WAN Hint For More MCQs Artificial Intelligence Question & Answers Please fill in the comment box below. Time is Up! Time's up
