Learning strategy

In misiipcrviscd learning, the network tries to group the input data on the basis of similarities between theses data. Those data points which arc similar to each other arc allocated to the same neuron or to eloscly adjacent neurons. 

The Kohonen network i.s a neural network which uses an unsupervised learning strategy. Sec Section 9.5,3 for a more detailed description. 

Supeiwised learning strategies are applied in counter-propagation and in back-propagation neural networks (see Sections 9.5.5 and 9.5,7,  

Besides the artihcial neural networks mentioned above, there are various other types of neural networks. This chapter, however, will confine itself to the three most important types used in chemoinformatics Kohonen networks, counter-propagation networks, and back-propagation networks. 

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Neuronal networks are nowadays predominantly applied in classification tasks. Here, three kind of networks are tested First the backpropagation network is used, due to the fact that it is the most robust and common network. The other two networks which are considered within this study have special adapted architectures for classification tasks. The Learning Vector Quantization (LVQ) Network consists of a neuronal structure that represents the LVQ learning strategy. The Fuzzy Adaptive Resonance Theory (Fuzzy-ART) network is a sophisticated network with a very complex structure but a high performance on classification tasks. Overviews on this extensive subject are given in [2] and [6]. 

The underlying learning process can follow different concepts. The two major learning strategies are unsupervised learning and supervised learning. 

Table 9-3 can act as a guideline for the proper selection of a neural network method. It summarizes the different network types and thcii learning strategy, and lists different types of applications. 

You need to use study methods that go beyond rote memorization to genuine comprehension in order to be fully prepared for your test. Using study methods that suit your learning style will help you to really learn the material you need to know for the test. One of the most important learning strategies is to be an active reader. Interact with what you are reading by... 

McIntyre C, Marriott L, Gold P. 2003b. Patterns of brain acetylcholine release predict individual differences in preferred learning strategies in rats. Neurobiology of Learning and Memory 79(2) 177-183. 

Towns and Grant (161) studied cooperative learning activities in physical chemistry, in particular in a graduate-level thermodynamics course. Their purpose was to describe the structure of events during these activities. The findings showed that students were moved away from rote learning strategies... 

It will be an effective learning strategy if you divide the units into work sessions lasting about one hour. 

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