Minimal architecture

Current trends in neural networks favor smaller networks with minimal architecture. Two major advantages of smaller networks previously discussed are better generalization capability (8.4) and easier rule extraction (13.2). Another advantage is better predictive accuracy, seen when a large network is replaced by many smaller networks, each for a subtask or a subset of data. A typical example is the protein classification problem, where n individual networks can be used to classify n different protein families and increase the prediction accuracy obtained by one large network with n output units. The improvement is especially significant when there is sufficient data for fine-tuning individual neural networks to the particularity of the data subsets. The use of ensembles of small, customized neural networks to improve predictive accuracy has been shown in numerous cases. 

Product Utilization. The principal appHcation for chromium phosphate coatings is as a paint base for painted aluminum extmsions and aluminum beverage can stock. In these appHcations, extremely demanding performance criteria are met by the chromium phosphate conversion coatings. As an example, the Architectural Aluminum Manufacturer s Association Voluntary Specification 605.2-92 requires humidity and salt spray testing for 3000 hours and allows only minimal incidence of paint failure after testing (26). 

If you have a simple component architecture, it could minimally define operating system and language or clarify how to couple components working in different contexts. If it defines no notion such as our transfer connector, you must define all the messages you expect to send and receive. 

The architectural models are the primary vehicle for communication among all these stakeholders and for formal review of the models against the system requirements. They form the basis for an early prototype, against which many qualities can be evaluated even though there is minimal end-user functionality implemented. 

An important competing process with significant practical consequences is the catalytic dimerization of diazoacetate to form maleate and fumarate esters. Most catalysts suffer from this side reaction, leading to the use of the alkene as solvent in order to accelerate the productive pathway and the slow addition of diazo compound in order to minimize dimerization. Since this problem is generally shared across most catalyst architectures, it will be mentioned in discussions of individual asymmetric catalyst systems only in those instances where these precautions prove to be unnecessary. 

Three-dimensional electrode nanoarchitectures exhibit unique structural features, in the guise of amplified surface area and the extensive intermingling of electrode and electrolyte phases over small length scales. The physical consequences of this type of electrode architecture have already been discussed, and the key components include (i) minimized solid-state transport distances (ii) effective mass transport of necessary electroreactants to the large surface-to-volume electrode and (iii) magnified surface—and surface defect—character of the electrochemical behavior. This new terrain demands a more deliberate evaluation of the electrochemical properties inherent therein. 

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